| Kareo, Inc. | 100.0 | 10 | 4 |
| CureMD, Inc. | 67.6 | 4 | 2 |
| Oracle CRM | 48.7 | 6 | 0 |
| Oracle Fusion Applications | 48.7 | 6 | 0 |
| Oracle Database | 44.8 | 5 | 0 |
| Crowe Mikhailenko | 44.8 | 5 | 0 |
| Oracle E-Business Suite | 40.3 | 4 | 0 |
| Epic | 40.3 | 4 | 0 |
| Phreesia Inc. | 40.3 | 4 | 0 |
| JDeveloper | 34.7 | 3 | 0 |
| Jakarta EE | 34.7 | 3 | 0 |
| Oracle SQL Developer | 34.7 | 3 | 0 |
| Datalogix | 34.7 | 3 | 0 |
| Oracle ERP Cloud | 34.7 | 3 | 0 |
| Oracle Cloud Platform | 34.7 | 3 | 0 |
| AIR Worldwide | 34.7 | 3 | 0 |
| Oracle HCM Cloud | 34.7 | 3 | 0 |
| OSP Labs | 34.7 | 3 | 0 |
| R1 RCM | 34.6 | 1 | 1 |
| Wolters Kluwer | 27.5 | 2 | 0 |
| Infor Global Solutions | 27.5 | 2 | 0 |
| McKesson Corporation | 27.5 | 2 | 0 |
| Salesforce | 27.5 | 2 | 0 |
| Oracle Application Server | 27.5 | 2 | 0 |
| Siebel Systems | 27.5 | 2 | 0 |
| Vantive | 27.5 | 2 | 0 |
| Wolters Kluwer Deutschland | 27.5 | 2 | 0 |
| EDGAR | 27.5 | 2 | 0 |
| OmniPage | 27.5 | 2 | 0 |
| Yahoo! Finance | 27.5 | 2 | 0 |
| athenahealth | 27.5 | 2 | 0 |
| Health Care Service Corporation | 27.5 | 2 | 0 |
| Java BluePrints | 27.5 | 2 | 0 |
| Oracle Property Manager | 27.5 | 2 | 0 |
| Verisk Analytics | 27.5 | 2 | 0 |
| Cision | 27.5 | 2 | 0 |
| Performance Analyzer | 27.5 | 2 | 0 |
| Oracle BlueKai Data Management Platform | 27.5 | 2 | 0 |
| Modern healthcare | 27.5 | 2 | 0 |
| Journal of healthcare information management : JHIM | 27.5 | 2 | 0 |
| Optum | 27.5 | 2 | 0 |
| Oracle Cloud | 27.5 | 2 | 0 |
| CaosDB - Research Data Management for Complex, Changing, and Automated Research Workflows | 27.5 | 2 | 0 |
| bidirectional encoder representations from transformers | 27.5 | 2 | 0 |
| otter.ai | 27.5 | 2 | 0 |
| NASDAQ/Ngs (Global Select Market) | 27.5 | 2 | 0 |
| Q96602914 | 27.5 | 2 | 0 |
| Salesforce | 27.5 | 2 | 0 |
| SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graph | 27.5 | 2 | 0 |
| GW RhythmX | 27.5 | 2 | 0 |
| Law Practice Magazine | 27.3 | 0 | 2 |
| electronic health record | 27.3 | 0 | 2 |
| medical data breach | 27.3 | 0 | 2 |
| Patient Access to Electronic Health Records During Hospitalization | 27.3 | 0 | 2 |
| Patients Who Share Transparent Visit Notes With Others: Characteristics, Risks, and Benefits | 27.3 | 0 | 2 |
| Medical claims management | 27.3 | 0 | 2 |
| Electronic health records and support for primary care teamwork | 27.3 | 0 | 2 |
| HARVEST, a longitudinal patient record summarizer | 27.3 | 0 | 2 |
| Patient-centered care, collaboration, communication, and coordination: a report from AMIA's 2013 Policy Meeting | 27.3 | 0 | 2 |
| Identifying unmet informational needs in the inpatient setting to increase patient and caregiver engagement in the context of pediatric hematopoietic stem cell transplantation | 27.3 | 0 | 2 |
| Typed versus Voice Recognition for Data Entry in an Electronic Health Record: Emergency Department Physician Time Utilization and Interruptions | 27.3 | 0 | 2 |
| Using EHR data to improve revenue cycle processes and operational efficiencies | 27.3 | 0 | 2 |
| Sexual Orientation and Gender Identity Data Collection in Clinical Settings and in Electronic Health Records: A Key to Ending LGBT Health Disparities | 27.3 | 0 | 2 |
| A personally controlled electronic health record for Australia | 27.3 | 0 | 2 |
| Electronic health records and information portability: a pilot study in a rural primary healthcare center in India | 27.3 | 0 | 2 |
| Patient-initiated electronic health record amendment requests | 27.3 | 0 | 2 |
| Effective claims denial management enhances revenue. | 27.3 | 0 | 2 |
| Goldratt's Thinking Process Applied to Medical Claims Processing | 27.3 | 0 | 2 |
| Do provider attitudes about electronic health records predict future electronic health record use? | 27.3 | 0 | 2 |
| Ethical issues in electronic health records: A general overview | 27.3 | 0 | 2 |
| An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT | 27.3 | 0 | 2 |
| Providing hospital patients with access to their medical records | 27.3 | 0 | 2 |
| Readers' perspectives. Claims management software vendor and claims clearinghouse | 27.3 | 0 | 2 |
| Short Report About the Inpatient Health Services Standards in Electronic Health Records | 27.3 | 0 | 2 |
| Automated tobacco assessment and cessation support for cancer patients | 27.3 | 0 | 2 |
| An innovative electronic health record system for rare and complex diseases | 27.3 | 0 | 2 |
| Enhancing Practice Efficiency and Patient Care by Sharing Electronic Health Records | 27.3 | 0 | 2 |
| Improving electronic health record (EHR) accuracy and increasing compliance with health maintenance clinical guidelines through patient access and input | 27.3 | 0 | 2 |
| Diffusion and Use of Tethered Personal Health Records in Primary Care | 27.3 | 0 | 2 |
| Electronic Health Record Adoption - Maybe It's not about the Money: Physician Super-Users, Electronic Health Records and Patient Care | 27.3 | 0 | 2 |
| Implementation of Certified EHR, Patient Portal, and “Direct” Messaging Technology in a Radiology Environment Enhances Communication of Radiology Results to Both Referring Physicians and Patients | 27.3 | 0 | 2 |
| Do health care users think electronic health records are important for themselves and their providers?: Exploring group differences in a national survey | 27.3 | 0 | 2 |
| The provision and impact of online patient access to their electronic health records (EHR) and transactional services on the quality and safety of health care: systematic review protocol | 27.3 | 0 | 2 |
| Small practices' experience with EHR, quality measurement, and incentives | 27.3 | 0 | 2 |
| Reasons (not) to Spend a Few Billions More on EHRs: How Human Factors Research Can Help | 27.3 | 0 | 2 |
| Use of Electronic Health Records and Clinical Decision Support Systems for Antimicrobial Stewardship | 27.3 | 0 | 2 |
| Lessons about So-Called "Difficult" Patients from the UK Controversy over Patient Access to Electronic Health Records | 27.3 | 0 | 2 |
| Current patient and healthcare worker attitudes to eHealth and the personally controlled electronic health record in major hospitals | 27.3 | 0 | 2 |
| Extended use of electronic health records by primary care physicians: Does the electronic health record artefact matter? | 27.3 | 0 | 2 |
| Measuring the Impact of Electronic Health Record Adoption on Charge Capture. | 27.3 | 0 | 2 |
| Using Multifactorial Experiments For Comparative Effectiveness Research in Physician Practices with Electronic Health Records | 27.3 | 0 | 2 |
| Implementing patient access to electronic health records under HIPAA: lessons learned. | 27.3 | 0 | 2 |
| Charge Capture: Does Your Process Ensure Accuracy of the Revenue Cycle? | 27.3 | 0 | 2 |
| EMRs in practice. Electronic record systems are making inroads in therapeutic practices | 27.3 | 0 | 2 |
| Get the Right Balance – Lessons Learned from the First Ebola Infected Patient in Dallas | 27.3 | 0 | 2 |
| Health information technology: on the cusp of healthcare transformation | 27.3 | 0 | 2 |
| Patient Access to Electronic Health Record: A Comparative Study on Laws, Policies and Procedures in Selected Countries | 27.3 | 0 | 2 |
| Evaluating patient access to Electronic Health Records: results from a survey of veterans | 27.3 | 0 | 2 |
| Electronic health records and resident workflow: A time-motion study of otolaryngology residents | 27.3 | 0 | 2 |
| Revenue integrity departments support the revenue cycle | 27.3 | 0 | 2 |
| The impact of electronic health record use on physician productivity | 27.3 | 0 | 2 |
| Association of Prior Authorization and Out-of-pocket Costs With Patient Access to PCSK9 Inhibitor Therapy | 27.3 | 0 | 2 |
| Assessing the benefit of a personalized EHR-generated informed consent in a dental school setting | 27.3 | 0 | 2 |
| Time for a Patient-Driven Health Information Economy? | 27.3 | 0 | 2 |
| Using conceptual work products of health care to design health IT | 27.3 | 0 | 2 |
| Big data. Big changes. What's the big idea? | 27.3 | 0 | 2 |
| Assessing the payoff from meaningful use of EHRs. More physicians are using electronic health records, but opinions are mixed over the value of digitization | 27.3 | 0 | 2 |
| A probabilistic topic model for clinical risk stratification from electronic health records | 27.3 | 0 | 2 |
| Patient access to an electronic health record with secure messaging: impact on primary care utilization. | 27.3 | 0 | 2 |
| Transitional Chaos or Enduring Harm? The EHR and the Disruption of Medicine | 27.3 | 0 | 2 |
| Fielding the remote online veterinary record, a veterinary electronic health record to improve patient care and practice management | 27.3 | 0 | 2 |
| Best practices: training your staff to use your new EHR system | 27.3 | 0 | 2 |
| Electronic Prior Authorization Is Here: What You Need to Know About It | 27.3 | 0 | 2 |
| Performance measures and accountability sustain PARC (patient access and revenue cycle) improvements | 27.3 | 0 | 2 |
| Provenance-Based Root Cause Analysis for Revenue Leakage Detection: A Telecommunication Case Study | 27.3 | 0 | 2 |
| Sensor and Electronic Health Records (EHR) Integration Pilot Study | 27.3 | 0 | 2 |
| Clinical Score Usefulness and EHR Integration | 27.3 | 0 | 2 |
| A million a month. Pennsylvania health system customizes software not only to strengthen claims processing, but also to improve its payment posting process | 27.3 | 0 | 2 |
| Evaluating patient access to electronic health records | 27.3 | 0 | 2 |
| Automating claims management improves revenue cycle | 27.3 | 0 | 2 |
| Improving cash flow with better charge capture and denial management | 27.3 | 0 | 2 |
| Patient access: a new face for the revenue cycle | 27.3 | 0 | 2 |
| Revenue cycle management changes horizon. Report sees rise in claims management and EDI spending | 27.3 | 0 | 2 |
| Ensuring Continuity of Care Through Electronic Health Records: Recommendations From the ASCO Electronic Health Record Roundtable | 27.3 | 0 | 2 |
| What makes an EHR “open” or interoperable? | 27.3 | 0 | 2 |
| With the touch of a finger | 27.3 | 0 | 2 |
| Patient portal in your orthopedic surgery practice: you can so do this | 27.3 | 0 | 2 |
| Healthcare DIY | 27.3 | 0 | 2 |
| Patient engagement and PHI. Organizations should make patient access to their personal health information a customer service priority | 27.3 | 0 | 2 |
| Which electronic health record is better: A or B? Realities of comparing the effectiveness of electronic health records | 27.3 | 0 | 2 |
| Private practice will survive but patient billing will not | 27.3 | 0 | 2 |
| Accounts receivable. Strategies for better management. From eligibility verification to patient engagement, managing accounts receivable is a vital process to maintaining financial health | 27.3 | 0 | 2 |
| PILOT PROGRAM WILL EXPLORE GIVING PATIENT ACCESS TO EHR RECORDS | 27.3 | 0 | 2 |
| How to simplify practice management on the revenue cycle side | 27.3 | 0 | 2 |
| Reflections on Physician‐Patient Interactions in the EHR Era | 27.3 | 0 | 2 |
| Implementation of an electronic health records system within an interprofessional model of care | 27.3 | 0 | 2 |
| Patients should have right to interact with their electronic records, report says | 27.3 | 0 | 2 |
| Electronic health records and burnout: Time spent on the electronic health record after hours and message volume associated with exhaustion but not with cynicism among primary care clinicians | 27.3 | 0 | 2 |
| Accuracy of medical billing data against the electronic health record in the measurement of colorectal cancer screening rates | 27.3 | 0 | 2 |
| Towards an Adoption Framework for Patient Access to Electronic Health Records: Systematic Literature Mapping Study | 27.3 | 0 | 2 |
| Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy | 27.3 | 0 | 2 |
| Adult patient access to electronic health records | 27.3 | 0 | 2 |
| Engaging patients in the age of meaningful use | 27.3 | 0 | 2 |
| Revenue Cycle: Reducing administrative write-offs through improved denial management | 27.3 | 0 | 2 |
| Handbook of Practice Management | 27.3 | 0 | 2 |
| QuickStats: Management of Patient Health Information Functions Among Office-Based Physicians With and Without a Certified Electronic Health Record (EHR) System - National Electronic Health Records Survey, United States, 2018 | 27.3 | 0 | 2 |
| Ethics and the Electronic Health Record: Description of An Integrating System of Electronic Health Records in Argentina and a Proposal to Shift Towards a Patient-Centered Conception | 27.3 | 0 | 2 |
| medical billing industry | 27.3 | 0 | 2 |
| OP140 Adult Patient Access To Electronic Health Records | 27.3 | 0 | 2 |
| An Electronic Health Record–Based Automated Self-Rescheduling Tool to Improve Patient Access: Retrospective Cohort Study | 27.3 | 0 | 2 |
| Denial management | 27.3 | 0 | 2 |
| Q137184322 | 27.3 | 0 | 2 |
| One Source Medical Billing | 27.3 | 0 | 2 |
| Java | 17.3 | 1 | 0 |
| Solaris | 17.3 | 1 | 0 |
| Oracle Corporation | 17.3 | 1 | 0 |
| PL/SQL | 17.3 | 1 | 0 |
| Oracle Linux | 17.3 | 1 | 0 |
| Slashdot | 17.3 | 1 | 0 |
| Nasdaq | 17.3 | 1 | 0 |
| Oracle WebLogic Server | 17.3 | 1 | 0 |
| Larry Ellison | 17.3 | 1 | 0 |
| arXiv | 17.3 | 1 | 0 |
| Jakarta Transactions | 17.3 | 1 | 0 |
| London Stock Exchange | 17.3 | 1 | 0 |
| Jakarta Server Pages | 17.3 | 1 | 0 |
| Java Platform, Micro Edition | 17.3 | 1 | 0 |
| Oracle Financial Services Software | 17.3 | 1 | 0 |
| TopLink | 17.3 | 1 | 0 |
| Mobile Information Device Profile | 17.3 | 1 | 0 |
| London Stock Exchange - AIM MTF | 17.3 | 1 | 0 |
| Nasdaq-100 | 17.3 | 1 | 0 |
| Elevance Health, Inc. | 17.3 | 1 | 0 |
| Experian | 17.3 | 1 | 0 |
| Art Technology Group | 17.3 | 1 | 0 |
| Java Database Connectivity | 17.3 | 1 | 0 |
| Java Development Kit | 17.3 | 1 | 0 |
| Jakarta Messaging | 17.3 | 1 | 0 |
| Berkeley DB | 17.3 | 1 | 0 |
| JRockit | 17.3 | 1 | 0 |
| K virtual machine | 17.3 | 1 | 0 |
| Crowe Global | 17.3 | 1 | 0 |
| Cision | 17.3 | 1 | 0 |
| United States Securities and Exchange Commission | 17.3 | 1 | 0 |
| Java Foundation Classes | 17.3 | 1 | 0 |
| Cerner | 17.3 | 1 | 0 |
| Cognizant Technology Solutions | 17.3 | 1 | 0 |
| Java Advanced Imaging | 17.3 | 1 | 0 |
| Nuance Communications | 17.3 | 1 | 0 |
| GE HealthCare | 17.3 | 1 | 0 |
| Oracle iPlanet Web Server | 17.3 | 1 | 0 |
| Dragon NaturallySpeaking | 17.3 | 1 | 0 |
| GT.M | 17.3 | 1 | 0 |
| OpenSPARC | 17.3 | 1 | 0 |
| Essbase | 17.3 | 1 | 0 |
| Fidelity National Information Services | 17.3 | 1 | 0 |
| Javadoc | 17.3 | 1 | 0 |
| JavaOne | 17.3 | 1 | 0 |
| Q1654521 | 17.3 | 1 | 0 |
| Oracle Cloud File System | 17.3 | 1 | 0 |
| Java Media Framework | 17.3 | 1 | 0 |
| Oliver Wyman | 17.3 | 1 | 0 |
| Storage Technology Corporation | 17.3 | 1 | 0 |
| Oracle Application Development Framework | 17.3 | 1 | 0 |
| PeopleSoft | 17.3 | 1 | 0 |
| Oracle Call Interface | 17.3 | 1 | 0 |
| Primavera | 17.3 | 1 | 0 |
| Tuxedo | 17.3 | 1 | 0 |
| JavaFX | 17.3 | 1 | 0 |
| JD Edwards | 17.3 | 1 | 0 |
| Oracle Developer Studio | 17.3 | 1 | 0 |
| Oracle Grid Engine | 17.3 | 1 | 0 |
| Agile Software Corporation | 17.3 | 1 | 0 |
| Sun Java Communications Suite | 17.3 | 1 | 0 |
| Java Platform | 17.3 | 1 | 0 |
| Oracle Spatial | 17.3 | 1 | 0 |
| Oracle Applications | 17.3 | 1 | 0 |
| TimesTen | 17.3 | 1 | 0 |
| Oracle Exadata | 17.3 | 1 | 0 |
| Oracle Exalogic | 17.3 | 1 | 0 |
| JD Edwards EnterpriseOne | 17.3 | 1 | 0 |
| Jinitiator | 17.3 | 1 | 0 |
| Oracle VM Server for SPARC | 17.3 | 1 | 0 |
| Oracle OpenWorld | 17.3 | 1 | 0 |
| Oracle Rdb | 17.3 | 1 | 0 |
| Solaris Cluster | 17.3 | 1 | 0 |
| Allscripts | 17.3 | 1 | 0 |
| American Hospital Association | 17.3 | 1 | 0 |
| Avigilon | 17.3 | 1 | 0 |
| BigMachines | 17.3 | 1 | 0 |
| CT | 17.3 | 1 | 0 |
| Centricity | 17.3 | 1 | 0 |
| Civil Rights Litigation Clearinghouse | 17.3 | 1 | 0 |
| CrowdTwist | 17.3 | 1 | 0 |
| Demandware | 17.3 | 1 | 0 |
| DragonDictate | 17.3 | 1 | 0 |
| Emdeon | 17.3 | 1 | 0 |
| Epiphany, Inc. | 17.3 | 1 | 0 |
| Salesforce Marketing Cloud | 17.3 | 1 | 0 |
| FTSE AIM UK 50 Index | 17.3 | 1 | 0 |
| FatWire | 17.3 | 1 | 0 |
| Firstsource | 17.3 | 1 | 0 |
| Form 10-12B | 17.3 | 1 | 0 |
| Form F-6 | 17.3 | 1 | 0 |
| Healthcare Financial Management Association | 17.3 | 1 | 0 |
| Healthcare Information and Management Systems Society | 17.3 | 1 | 0 |
| Hyperion Planning | 17.3 | 1 | 0 |
| MEDITECH | 17.3 | 1 | 0 |
| MacSpeech | 17.3 | 1 | 0 |
| Modern Healthcare | 17.3 | 1 | 0 |
| Guidehouse | 17.3 | 1 | 0 |
| Nuance PDF Reader | 17.3 | 1 | 0 |
| Nuesoft | 17.3 | 1 | 0 |
| Oracle BI Publisher | 17.3 | 1 | 0 |
| Oracle Beehive | 17.3 | 1 | 0 |
| Oracle BPEL Process Manager | 17.3 | 1 | 0 |
| Oracle Data Mining | 17.3 | 1 | 0 |
| Oracle Designer | 17.3 | 1 | 0 |
| Oracle Discoverer | 17.3 | 1 | 0 |
| Oracle Enterprise Manager Ops Center | 17.3 | 1 | 0 |
| Oracle Enterprise Pack for Eclipse | 17.3 | 1 | 0 |
| Oracle NoSQL Database | 17.3 | 1 | 0 |
| Oracle Policy Automation | 17.3 | 1 | 0 |
| Oracle VDI | 17.3 | 1 | 0 |
| Oracle Multimedia | 17.3 | 1 | 0 |
| PaperPort | 17.3 | 1 | 0 |
| Primavera Systems | 17.3 | 1 | 0 |
| RightNow Technologies | 17.3 | 1 | 0 |
| Sniffex | 17.3 | 1 | 0 |
| Sun Java System Web Proxy Server | 17.3 | 1 | 0 |
| TOA Technologies | 17.3 | 1 | 0 |
| Taleo | 17.3 | 1 | 0 |
| TechTarget | 17.3 | 1 | 0 |
| Vitera Healthcare Solutions | 17.3 | 1 | 0 |
| William Blair & Company | 17.3 | 1 | 0 |
| Zocdoc | 17.3 | 1 | 0 |
| Zywave | 17.3 | 1 | 0 |
| Oracle VM | 17.3 | 1 | 0 |
| Acta Neurologica Taiwanica | 17.3 | 1 | 0 |
| Online Journal of Nursing Informatics | 17.3 | 1 | 0 |
| list of major SEC enforcement actions | 17.3 | 1 | 0 |
| Q16727809 | 17.3 | 1 | 0 |
| Sun Management Center | 17.3 | 1 | 0 |
| MedAssets | 17.3 | 1 | 0 |
| Oracle BPA Suite | 17.3 | 1 | 0 |
| Dictaphone | 17.3 | 1 | 0 |
| Tacit Software | 17.3 | 1 | 0 |
| NextGen Healthcare Information Systems | 17.3 | 1 | 0 |
| Slack | 17.3 | 1 | 0 |
| CareCloud | 17.3 | 1 | 0 |
| PeopleTools | 17.3 | 1 | 0 |
| Change Healthcare | 17.3 | 1 | 0 |
| Modernizing Medicine, Inc. | 17.3 | 1 | 0 |
| Duke | 17.3 | 1 | 0 |
| FiscalNote | 17.3 | 1 | 0 |
| Evolent Health | 17.3 | 1 | 0 |
| Stellent | 17.3 | 1 | 0 |
| CoverMyMeds | 17.3 | 1 | 0 |
| International journal of women's dermatology | 17.3 | 1 | 0 |
| Wolters Kluwer Health | 17.3 | 1 | 0 |
| Conduent | 17.3 | 1 | 0 |
| Oracle Corporation UK | 17.3 | 1 | 0 |
| Oracle (Israel) | 17.3 | 1 | 0 |
| Cognizant (India) | 17.3 | 1 | 0 |
| Nuance Communications (Canada) | 17.3 | 1 | 0 |
| Nuance Communications (Austria) | 17.3 | 1 | 0 |
| Generally Accepted Accounting Principles - US - 2017 | 17.3 | 1 | 0 |
| Generally Accepted Accounting Principles - US - 2016 | 17.3 | 1 | 0 |
| Generally Accepted Accounting Principles - US - 2015 | 17.3 | 1 | 0 |
| IFRS 2016 | 17.3 | 1 | 0 |
| GE Healthcare (Netherlands) | 17.3 | 1 | 0 |
| Aetion (United States) | 17.3 | 1 | 0 |
| Avigilon | 17.3 | 1 | 0 |
| Blue Prism | 17.3 | 1 | 0 |
| Cognizant (United Kingdom) | 17.3 | 1 | 0 |
| Oracle (Canada) | 17.3 | 1 | 0 |
| Oracle (India) | 17.3 | 1 | 0 |
| factoring | 17.2 | 0 | 1 |
| accounts receivable | 17.2 | 0 | 1 |
| cessione crediti pro solvendo | 17.2 | 0 | 1 |
| dunning | 17.2 | 0 | 1 |
| medical practice management software | 17.2 | 0 | 1 |
| Bavarian State Painting Collections | 17.2 | 0 | 1 |
| foreign currencies | 17.2 | 0 | 1 |
| Current Procedural Terminology | 17.2 | 0 | 1 |
| Accounts receivable | 17.2 | 0 | 1 |
| Fairfax Financial | 17.2 | 0 | 1 |
| root cause analysis | 17.2 | 0 | 1 |
| Q1437052 | 17.2 | 0 | 1 |
| practice management system | 17.2 | 0 | 1 |
| Open Dental | 17.2 | 0 | 1 |
| medical classification | 17.2 | 0 | 1 |
| medical software | 17.2 | 0 | 1 |
| ActionStep | 17.2 | 0 | 1 |
| Aspen Dental | 17.2 | 0 | 1 |
| Balance billing | 17.2 | 0 | 1 |
| Claims management company | 17.2 | 0 | 1 |
| Coding Accuracy Support System | 17.2 | 0 | 1 |
| Compensation Act 2006 | 17.2 | 0 | 1 |
| Crawford & Company | 17.2 | 0 | 1 |
| debtor finance | 17.2 | 0 | 1 |
| Dentrix | 17.2 | 0 | 1 |
| Direct primary care | 17.2 | 0 | 1 |
| Electronic remittance advice | 17.2 | 0 | 1 |
| EmCare | 17.2 | 0 | 1 |
| Evaluation and Management Coding | 17.2 | 0 | 1 |
| Financial Collection Agencies | 17.2 | 0 | 1 |
| GNUmed | 17.2 | 0 | 1 |
| Claim Management | 17.2 | 0 | 1 |
| Form I-9 | 17.2 | 0 | 1 |
| Laika | 17.2 | 0 | 1 |
| Law practice management | 17.2 | 0 | 1 |
| law practice management software | 17.2 | 0 | 1 |
| Legal Services Act 2007 | 17.2 | 0 | 1 |
| lock box | 17.2 | 0 | 1 |
| Marc Twagirumukiza | 17.2 | 0 | 1 |
| medical billing | 17.2 | 0 | 1 |
| Scientology and psychiatry | 17.2 | 0 | 1 |
| OpenEMR | 17.2 | 0 | 1 |
| Sedgwick Group | 17.2 | 0 | 1 |
| SoftDent | 17.2 | 0 | 1 |
| Superbill | 17.2 | 0 | 1 |
| The Accident Group | 17.2 | 0 | 1 |
| The Journal of Medical Practice Management | 17.2 | 0 | 1 |
| WorldVistA | 17.2 | 0 | 1 |
| Category:Dental practice management software | 17.2 | 0 | 1 |
| Category:Electronic health record software | 17.2 | 0 | 1 |
| Category:Wikipedians by alma mater: La Trobe University - Electronic Health Records | 17.2 | 0 | 1 |
| accounts receivable management system | 17.2 | 0 | 1 |
| Q10290191 | 17.2 | 0 | 1 |
| Act on Special Measures Concerning Claim Management and Collection Businesses | 17.2 | 0 | 1 |
| medical coding | 17.2 | 0 | 1 |
| Masking (Electronic Health Record) | 17.2 | 0 | 1 |
| Practice management software | 17.2 | 0 | 1 |
| GaiaEHR | 17.2 | 0 | 1 |
| Electronic health record confidentiality | 17.2 | 0 | 1 |
| Lorenzo patient record systems | 17.2 | 0 | 1 |
| Personally Controlled Electronic Health Record | 17.2 | 0 | 1 |
| Streamlining Claims Processing for Federal Contractor Employees Act | 17.2 | 0 | 1 |
| High-priority drug–drug interactions for use in electronic health records | 17.2 | 0 | 1 |
| prior authorization | 17.2 | 0 | 1 |
| Girl from sabine mountains | 17.2 | 0 | 1 |
| Streamlining Claims Processing for Federal Contractor Employees Act | 17.2 | 0 | 1 |
| Fast Healthcare Interoperability Resources | 17.2 | 0 | 1 |
| Artillerymen in the Shower | 17.2 | 0 | 1 |
| Dan Rodrigues | 17.2 | 0 | 1 |
| Describing the Relationship between Cat Bites and Human Depression Using Data from an Electronic Health Record | 17.2 | 0 | 1 |
| IMS MAXIMS | 17.2 | 0 | 1 |
| patient record access | 17.2 | 0 | 1 |
| The Redwoods Group | 17.2 | 0 | 1 |
| Data too important to share: do those who control the data control the message? | 17.2 | 0 | 1 |
| Assessing Healthcare Utilization for Influenza-like Illness at an Emergency Department and a Student Health Service during the 2009–2010 H1N1 Pandemic | 17.2 | 0 | 1 |
| Do zero-cost workers' compensation medical claims really have zero costs? The impact of workplace injury on group health insurance utilization and costs | 17.2 | 0 | 1 |
| The Feasibility of Using Electronic Health Records to Describe Demographic and Clinical Indicators of Migrant and Seasonal Farmworkers | 17.2 | 0 | 1 |
| Incorporating occupational information in electronic health records: letter report | 17.2 | 0 | 1 |
| Group medical claims as a source of information on worker health and potentially work-related diseases | 17.2 | 0 | 1 |
| Use of electronic health records to support smoking cessation | 17.2 | 0 | 1 |
| Interventions to improve patient access to and utilisation of genetic and genomic counselling services | 17.2 | 0 | 1 |
| Use of electronic health records to support smoking cessation | 17.2 | 0 | 1 |
| Use of electronic health records to support smoking cessation | 17.2 | 0 | 1 |
| Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER) | 17.2 | 0 | 1 |
| Interface terminologies: facilitating direct entry of clinical data into electronic health record systems | 17.2 | 0 | 1 |
| State Medicaid programs did not make use of prior authorization to promote safer prescribing after rosiglitazone warning | 17.2 | 0 | 1 |
| QT interval and antidepressant use: a cross sectional study of electronic health records | 17.2 | 0 | 1 |
| Legal, Ethical, and Financial Dilemmas in Electronic Health Record Adoption and Use | 17.2 | 0 | 1 |
| Correlates of electronic health record adoption in office practices: a statewide survey | 17.2 | 0 | 1 |
| The emergence of national electronic health record architectures in the United States and Australia: models, costs, and questions | 17.2 | 0 | 1 |
| How accurate is information that patients contribute to their Electronic Health Record? | 17.2 | 0 | 1 |
| Use of electronic health records in disaster response: the experience of Department of Veterans Affairs after Hurricane Katrina | 17.2 | 0 | 1 |
| Validation of medical claims data for obstructive lung disease diagnosis with medical records from an occupational clinic | 17.2 | 0 | 1 |
| Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality | 17.2 | 0 | 1 |
| A preliminary report of an educational intervention in practice management | 17.2 | 0 | 1 |
| RCASE | 17.2 | 0 | 1 |
| Category:Standards for electronic health records | 17.2 | 0 | 1 |
| Revenue Cycle Management | 17.2 | 0 | 1 |
| Category:Electronic health records | 17.2 | 0 | 1 |
| Using existing workers' compensation medical claims data to improve workplace safety | 17.2 | 0 | 1 |
| Injury surveillance using existing workers' compensation medical claims data | 17.2 | 0 | 1 |
| What factors affect patient access and engagement with clubfoot treatment in low- and middle-income countries? Meta-synthesis of existing qualitative studies using a social ecological model | 17.2 | 0 | 1 |
| Utilizing electronic health records to predict acute kidney injury risk and outcomes: workgroup statements from the 15(th) ADQI Consensus Conference | 17.2 | 0 | 1 |
| The Blue Button Project: Engaging Patients in Healthcare by a Click of a Button | 17.2 | 0 | 1 |
| Accuracy of Electronic Health Record Data for Identifying Stroke Cases in Large-Scale Epidemiological Studies: A Systematic Review from the UK Biobank Stroke Outcomes Group | 17.2 | 0 | 1 |
| The “Open Letter”: Radiologists' Reports in the Era of Patient Web Portals | 17.2 | 0 | 1 |
| Let’s Show Patients Their Mental Health Records | 17.2 | 0 | 1 |
| Patient Access to Online Visit Notes: Perceptions of Doctors and Patients at an Urban HIV/AIDS Clinic | 17.2 | 0 | 1 |
| US experience with doctors and patients sharing clinical notes | 17.2 | 0 | 1 |
| Patients learning to read their doctors’ notes: the importance of reminders | 17.2 | 0 | 1 |
| Transparent Electronic Health Records and Lagging Laws | 17.2 | 0 | 1 |
| Utilities of Electronic Medical Records to Improve Quality of Care for Acute Kidney Injury: Past, Present, Future | 17.2 | 0 | 1 |
| Patient centric approach for clinical trials: Current trend and new opportunities | 17.2 | 0 | 1 |
| Transforming Health Care Delivery Through Consumer Engagement, Health Data Transparency, and Patient-Generated Health Information | 17.2 | 0 | 1 |
| The Use of Medical Scribes in Health Care Settings: A Systematic Review and Future Directions | 17.2 | 0 | 1 |
| Genetic data and electronic health records: a discussion of ethical, logistical and technological considerations | 17.2 | 0 | 1 |
| Ethical governance in biobanks linked to electronic health records | 17.2 | 0 | 1 |
| Electronic health records: new opportunities for clinical research | 17.2 | 0 | 1 |
| Measurement of Errors in Clinical Laboratories | 17.2 | 0 | 1 |
| Application of routine electronic health record databases for pharmacogenetic research | 17.2 | 0 | 1 |
| Patients' online access to their electronic health records and linked online services: a systematic interpretative review | 17.2 | 0 | 1 |
| A detailed description of the implementation of inpatient insulin orders with a commercial electronic health record system | 17.2 | 0 | 1 |
| Security and privacy in electronic health records: a systematic literature review | 17.2 | 0 | 1 |
| Clinical genomics in the world of the electronic health record | 17.2 | 0 | 1 |
| Criteria for assessing high-priority drug-drug interactions for clinical decision support in electronic health records | 17.2 | 0 | 1 |
| Leveraging the electronic health record to implement genomic medicine | 17.2 | 0 | 1 |
| Innovative information visualization of electronic health record data: a systematic review | 17.2 | 0 | 1 |
| A review of the empirical evidence of the value of structuring and coding of clinical information within electronic health records for direct patient care | 17.2 | 0 | 1 |
| Possibilities and Implications of Using the ICF and Other Vocabulary Standards in Electronic Health Records | 17.2 | 0 | 1 |
| An Autism Case History to Review the Systematic Analysis of Large-Scale Data to Refine the Diagnosis and Treatment of Neuropsychiatric Disorders | 17.2 | 0 | 1 |
| Effect of practice management softwares among physicians of developing countries with special reference to Indian scenario by Mixed Method Technique | 17.2 | 0 | 1 |
| Stakeholder engagement: a key component of integrating genomic information into electronic health records | 17.2 | 0 | 1 |
| Electronic health records: Implications for drug discovery | 17.2 | 0 | 1 |
| Clinical decision support: effectiveness in improving quality processes and clinical outcomes and factors that may influence success | 17.2 | 0 | 1 |
| Implementing electronic health records in hospitals: a systematic literature review | 17.2 | 0 | 1 |
| Family practice management / American Academy of Family Physicians | 17.2 | 0 | 1 |
| Q27028012 | 17.2 | 0 | 1 |
| semaglutide | 17.2 | 0 | 1 |
| How physician electronic health record screen sharing affects patient and doctor non-verbal communication in primary care | 17.2 | 0 | 1 |
| Building bridges across electronic health record systems through inferred phenotypic topics | 17.2 | 0 | 1 |
| Clinical predictors of antipsychotic use in children and adolescents with autism spectrum disorders: a historical open cohort study using electronic health records | 17.2 | 0 | 1 |
| Visualization of Data Regarding Infections Using Eye Tracking Techniques | 17.2 | 0 | 1 |
| Dental practice management | 17.2 | 0 | 1 |
| Pharmacy practice management quarterly | 17.2 | 0 | 1 |
| Mining electronic health records: towards better research applications and clinical care | 17.2 | 0 | 1 |
| Adoption of electronic health records and barriers | 17.2 | 0 | 1 |
| Electronic health records in rheumatology: emphasis on automated scoring and additional use | 17.2 | 0 | 1 |
| Adoption of Electronic Health Records: A Roadmap for India | 17.2 | 0 | 1 |
| Near real‐time vaccine safety surveillance using electronic health records—a systematic review of the application of statistical methods | 17.2 | 0 | 1 |
| Overview of the American College of Rheumatology's Electronic Health Record-Enabled Registry: The Rheumatology Informatics System for Effectiveness | 17.2 | 0 | 1 |
| How to perform a root cause analysis for workup and future prevention of medical errors: a review | 17.2 | 0 | 1 |
| Integrating cancer genomic data into electronic health records | 17.2 | 0 | 1 |
| Costs and outcomes of increasing access to bariatric surgery for obesity: cohort study and cost-effectiveness analysis using electronic health records | 17.2 | 0 | 1 |
| Data elements and validation methods used for electronic surveillance of health care-associated infections: A systematic review | 17.2 | 0 | 1 |
| Improving Service Coordination and Reducing Mental Health Disparities Through Adoption of Electronic Health Records | 17.2 | 0 | 1 |
| Association Between Wellness Score from a Health Risk Appraisal and Prospective Medical Claims Costs | 17.2 | 0 | 1 |
| Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and meta-analysis | 17.2 | 0 | 1 |
| Potential impacts of patient access to their electronic care records | 17.2 | 0 | 1 |
| Evaluation of patient-centered electronic health record to overcome digital divide | 17.2 | 0 | 1 |
| Access to electronic health records in primary care-a survey of patients' views | 17.2 | 0 | 1 |
| Physicians' Outlook on ICD-10-CM/PCS and Its Effect on Their Practice | 17.2 | 0 | 1 |
| Industry and Occupation in the Electronic Health Record: An Investigation of the National Institute for Occupational Safety and Health Industry and Occupation Computerized Coding System | 17.2 | 0 | 1 |
| Medical claims-based case-control study of temporal relationship between clinical visits for hand syndromes and subsequent diabetes diagnosis: implications for identifying patients with undiagnosed type 2 diabetes mellitus | 17.2 | 0 | 1 |
| Using patient lists to add value to integrated data repositories | 17.2 | 0 | 1 |
| Assessing external cause of injury coding accuracy for transport injury hospitalizations | 17.2 | 0 | 1 |
| An integrated billing application to streamline clinician workflow | 17.2 | 0 | 1 |
| Enhancing adverse drug event detection in electronic health records using molecular structure similarity: application to pancreatitis | 17.2 | 0 | 1 |
| Approaches to recording drug allergies in electronic health records: qualitative study | 17.2 | 0 | 1 |
| Surveying Recent Themes in Translational Bioinformatics: Big Data in EHRs, Omics for Drugs, and Personal Genomics | 17.2 | 0 | 1 |
| Comparison of the Risk of Gastrointestinal Bleeding among Different Statin Exposures with Concomitant Administration of Warfarin: Electronic Health Record-Based Retrospective Cohort Study | 17.2 | 0 | 1 |
| Using Rich Data on Comorbidities in Case-Control Study Design with Electronic Health Record Data Improves Control of Confounding in the Detection of Adverse Drug Reactions | 17.2 | 0 | 1 |
| Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations | 17.2 | 0 | 1 |
| Bidirectional RNN for Medical Event Detection in Electronic Health Records | 17.2 | 0 | 1 |
| Optimising case detection within UK electronic health records: use of multiple linked databases for detecting liver injury | 17.2 | 0 | 1 |
| Medication-indication knowledge bases: a systematic review and critical appraisal | 17.2 | 0 | 1 |
| Optimizing annotation resources for natural language de-identification via a game theoretic framework | 17.2 | 0 | 1 |
| Automated methods for the summarization of electronic health records | 17.2 | 0 | 1 |
| Textual inference for eligibility criteria resolution in clinical trials | 17.2 | 0 | 1 |
| Ethical considerations for informed consent in infertility research: The use of electronic health records | 17.2 | 0 | 1 |
| How Does Learnability of Primary Care Resident Physicians Increase After Seven Months of Using an Electronic Health Record? A Longitudinal Study | 17.2 | 0 | 1 |
| Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance | 17.2 | 0 | 1 |
| Using a geographic information system to enhance patient access to point-of-care diagnostics in a limited-resource setting | 17.2 | 0 | 1 |
| Using electronic health records to predict costs and outcomes in stable coronary artery disease | 17.2 | 0 | 1 |
| An Assessment of Family History Information Captured in an Electronic Health Record | 17.2 | 0 | 1 |
| Calculating Total Health Service Utilisation and Costs from Routinely Collected Electronic Health Records Using the Example of Patients with Irritable Bowel Syndrome Before and After Their First Gastroenterology Appointment | 17.2 | 0 | 1 |
| An Interoperability Platform Enabling Reuse of Electronic Health Records for Signal Verification Studies | 17.2 | 0 | 1 |
| Virtualization of open-source secure web services to support data exchange in a pediatric critical care research network | 17.2 | 0 | 1 |
| Identification and Progression of Heart Disease Risk Factors in Diabetic Patients from Longitudinal Electronic Health Records | 17.2 | 0 | 1 |
| Patient and public views about the security and privacy of Electronic Health Records (EHRs) in the UK: results from a mixed methods study. | 17.2 | 0 | 1 |
| Mining Electronic Health Records using Linked Data | 17.2 | 0 | 1 |
| A Modular Architecture for Electronic Health Record-Driven Phenotyping | 17.2 | 0 | 1 |
| Electronic health records and community health surveillance of childhood obesity | 17.2 | 0 | 1 |
| Automatically Detecting Acute Myocardial Infarction Events from EHR Text: A Preliminary Study | 17.2 | 0 | 1 |
| Analysis of medication and indication occurrences in clinical notes | 17.2 | 0 | 1 |
| Standard-based EHR-enabled applications for clinical research and patient safety: CDISC - IHE QRPH - EHR4CR & SALUS collaboration | 17.2 | 0 | 1 |
| Extracting research-quality phenotypes from electronic health records to support precision medicine | 17.2 | 0 | 1 |
| Toward a Literature-Driven Definition of Big Data in Healthcare | 17.2 | 0 | 1 |
| Designing a System for Patients Controlling Providers’ Access to their Electronic Health Records: Organizational and Technical Challenges | 17.2 | 0 | 1 |
| The use of electronic patient records for medical research: conflicts and contradictions | 17.2 | 0 | 1 |
| Health workers’ experiences, barriers, preferences and motivating factors in using mHealth forms in Ethiopia | 17.2 | 0 | 1 |
| Developing a new model for patient recruitment in mental health services: a cohort study using Electronic Health Records | 17.2 | 0 | 1 |
| The RSNA Image Sharing Network | 17.2 | 0 | 1 |
| The Community Health Applied Research Network (CHARN) Data Warehouse: a Resource for Patient-Centered Outcomes Research and Quality Improvement in Underserved, Safety Net Populations | 17.2 | 0 | 1 |
| Developing a Community-Wide Electronic Health Record Disease Registry in Primary Care Practices: Lessons Learned from the Western New York Beacon Community | 17.2 | 0 | 1 |
| Technical Challenges for Big Data in Biomedicine and Health: Data Sources, Infrastructure, and Analytics | 17.2 | 0 | 1 |
| Patient and public attitudes towards informed consent models and levels of awareness of Electronic Health Records in the UK | 17.2 | 0 | 1 |
| Using the electronic health record to connect primary care patients to evidence-based telephonic tobacco quitline services: a closed-loop demonstration project | 17.2 | 0 | 1 |
| Beyond information retrieval and electronic health record use: competencies in clinical informatics for medical education | 17.2 | 0 | 1 |
| PEDSnet: a National Pediatric Learning Health System | 17.2 | 0 | 1 |
| Using large clinical corpora for query expansion in text-based cohort identification | 17.2 | 0 | 1 |
| Using linked data for mining drug-drug interactions in electronic health records | 17.2 | 0 | 1 |
| Linked data and online classifications to organise mined patterns in patient data | 17.2 | 0 | 1 |
| Geographic variation in ambulatory electronic health record adoption: implications for underserved communities | 17.2 | 0 | 1 |
| Integration of a Mobile-Integrated Therapy with Electronic Health Records: Lessons Learned | 17.2 | 0 | 1 |
| Multi-Institutional Sharing of Electronic Health Record Data to Assess Childhood Obesity | 17.2 | 0 | 1 |
| Extracting physician group intelligence from electronic health records to support evidence based medicine | 17.2 | 0 | 1 |
| Applying semantic web technologies for phenome-wide scan using an electronic health record linked Biobank | 17.2 | 0 | 1 |
| Using semantic web technologies for cohort identification from electronic health records for clinical research | 17.2 | 0 | 1 |
| The impact of electronic health record usage on cancer registry systems in Alabama | 17.2 | 0 | 1 |
| Policies for patient access to clinical data via PHRs: current state and recommendations | 17.2 | 0 | 1 |
| Tracking the delivery of prevention-oriented care among primary care providers who have adopted electronic health records | 17.2 | 0 | 1 |
| The challenges in making electronic health records accessible to patients | 17.2 | 0 | 1 |
| Syndromic surveillance using ambulatory electronic health records | 17.2 | 0 | 1 |
| Using electronic health records to help coordinate care | 17.2 | 0 | 1 |
| The futility of genomic counseling: essential role of electronic health records | 17.2 | 0 | 1 |
| Do electronic health records help or hinder medical education? | 17.2 | 0 | 1 |
| Progress along developmental tracks for electronic health records implementation in the United States | 17.2 | 0 | 1 |
| Assuring the confidentiality of shared electronic health records | 17.2 | 0 | 1 |
| An infrastructure for Integrated Electronic Health Record services: the role of XML (Extensible Markup Language) | 17.2 | 0 | 1 |
| How can we align the incentives to sustain shared electronic health records in communities? | 17.2 | 0 | 1 |
| UK push to open up patients’ data | 17.2 | 0 | 1 |
| Future of Electronic Health Records: Implications for Decision Support | 17.2 | 0 | 1 |
| Michael Berolzheimer | 17.2 | 0 | 1 |
| Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research | 17.2 | 0 | 1 |
| rEHR: An R package for manipulating and analysing Electronic Health Record data | 17.2 | 0 | 1 |
| Impact of electronic health record implementation on patient flow metrics in a pediatric emergency department | 17.2 | 0 | 1 |
| Using electronic health records and Internet search information for accurate influenza forecasting | 17.2 | 0 | 1 |
| Population Physiology: Leveraging Electronic Health Record Data to Understand Human Endocrine Dynamics | 17.2 | 0 | 1 |
| Reply to 'Mining electronic health records: an additional perspective' | 17.2 | 0 | 1 |
| Ten-year trends in family medicine residency productivity and staffing: impact of electronic health records, resident duty hours, and the medical home | 17.2 | 0 | 1 |
| The rise of open-source electronic health records | 17.2 | 0 | 1 |
| Uhlans on the march (Ulanen auf dem Marsch) | 17.2 | 0 | 1 |
| A rational approach to legacy data validation when transitioning between electronic health record systems | 17.2 | 0 | 1 |
| Characterizing the Source of Text in Electronic Health Record Progress Notes | 17.2 | 0 | 1 |
| Data for Community Health Assessment in Rural Colorado: A Comparison of Electronic Health Records to Public Health Surveys to Describe Childhood Obesity | 17.2 | 0 | 1 |
| Attitude Towards Health Information Privacy and Electronic Health Records Among Urban Sri Lankan Adults | 17.2 | 0 | 1 |
| Electronic Health Record Tools to Care for At-Risk Older Drivers: A Quality Improvement Project | 17.2 | 0 | 1 |
| Impact of simulation training on self-efficacy of outpatient health care providers to use electronic health records. | 17.2 | 0 | 1 |
| Contingency planning for electronic health record-based care continuity: a survey of recommended practices. | 17.2 | 0 | 1 |
| Electronic Health Records Access During a Disaster | 17.2 | 0 | 1 |
| Rates, levels, and determinants of electronic health record system adoption: a study of hospitals in Riyadh, Saudi Arabia. | 17.2 | 0 | 1 |
| Clinical trial preparedness in facioscapulohumeral dystrophy: outcome measures and patient access: 8-9 April 2013, Leiden, The Netherlands | 17.2 | 0 | 1 |
| Readiness Assessment of Electronic Health Records Implementation | 17.2 | 0 | 1 |
| Use of metadata registry for nursing: A customer-centered electronic health record. | 17.2 | 0 | 1 |
| Electronic health records to facilitate clinical research | 17.2 | 0 | 1 |
| Electronic health records-Applications for the allergist/immunologist: All that glitters is not gold | 17.2 | 0 | 1 |
| An appraisal of published usability evaluations of electronic health records via systematic review. | 17.2 | 0 | 1 |
| Considerations for the analysis of longitudinal electronic health records linked to claims data to study the effectiveness and safety of drugs | 17.2 | 0 | 1 |
| Are International Classification of Diseases Codes in Electronic Health Records Useful in Identifying Obesity as a Risk Factor When Evaluating Surgical Outcomes? | 17.2 | 0 | 1 |
| Electronic Health Record-Driven Workflow for Diagnostic Radiologists | 17.2 | 0 | 1 |
| Adding Value as Young Radiologists: Challenges and Opportunities, Part 2 | 17.2 | 0 | 1 |
| Cognitive workload changes for nurses transitioning from a legacy system with paper documentation to a commercial electronic health record | 17.2 | 0 | 1 |
| Meaningful Use: Participating in the Federal Incentive Program | 17.2 | 0 | 1 |
| Physician practice management companies: should physicians be scared? | 17.2 | 0 | 1 |
| Practice management in pediatric dentistry. | 17.2 | 0 | 1 |
| Practice management | 17.2 | 0 | 1 |
| Patients first: a philosophy of medical practice management | 17.2 | 0 | 1 |
| Practice management for the fee-for-service pediatric dentist. | 17.2 | 0 | 1 |
| Some experiences and opportunities for big data in translational research | 17.2 | 0 | 1 |
| Analysis of a practice management computer software program for owner compliance with recall reminders. | 17.2 | 0 | 1 |
| Can we predict a national profile of non-attendance paediatric urology patients: a multi-institutional electronic health record study | 17.2 | 0 | 1 |
| Occupational health and practice management of primary care practitioners during influenza pandemic 2009/10 in Germany - a survey of 1150 physicians participating in syndromic influenza surveillance at Robert Koch Institute | 17.2 | 0 | 1 |
| Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research | 17.2 | 0 | 1 |
| Safe use of electronic health records and health information technology systems: trust but verify | 17.2 | 0 | 1 |
| Demonstrating the use of high-volume electronic medical claims data to monitor local and regional influenza activity in the US. | 17.2 | 0 | 1 |
| Use of linked electronic health records to assess mortality and length of stay associated with pandemic influenza A(H1N1)pdm09 at a UK teaching hospital | 17.2 | 0 | 1 |
| Reuse Of Clinical Data | 17.2 | 0 | 1 |
| Improving Business IQ in Medicine Through Mentorship and Education | 17.2 | 0 | 1 |
| A method for prioritizing interventions following root cause analysis (RCA): lessons from philosophy | 17.2 | 0 | 1 |
| Exploring a clinically friendly web-based approach to clinical decision support linked to the electronic health record: design philosophy, prototype implementation, and framework for assessment | 17.2 | 0 | 1 |
| Toward a model of successful electronic health record adoption. | 17.2 | 0 | 1 |
| A Large Genome-Wide Association Study of Age-Related Hearing Impairment Using Electronic Health Records | 17.2 | 0 | 1 |
| All-inkjet-printed thin-film transistors: manufacturing process reliability by root cause analysis. | 17.2 | 0 | 1 |
| International Benchmarking and Best Practice Management: In Search of Health Care and Hospital Excellence | 17.2 | 0 | 1 |
| Managing the scope and impact of root cause analysis recommendations. | 17.2 | 0 | 1 |
| Next generation syndromic surveillance: molecular epidemiology, electronic health records and the pandemic Influenza A (H1N1) virus | 17.2 | 0 | 1 |
| Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics | 17.2 | 0 | 1 |
| Coding accuracy on the psychophysical scale | 17.2 | 0 | 1 |
| Perceptions of chronically ill and healthy consumers about electronic personal health records: a comparative empirical investigation | 17.2 | 0 | 1 |
| Signs of the 2009 influenza pandemic in the New York-Presbyterian Hospital electronic health records | 17.2 | 0 | 1 |
| The philosophy behind practice management teaching | 17.2 | 0 | 1 |
| Web-Based Electronic Health Records Improve Data Completeness and Reduce Medical Discrepancies in Employee Vaccination Programs | 17.2 | 0 | 1 |
| Variable gross: a new practice management philosophy | 17.2 | 0 | 1 |
| Family practice management in an overseas theater | 17.2 | 0 | 1 |
| Evaluation of a pilot respiratory virus surveillance system linking electronic health record and diagnostic data | 17.2 | 0 | 1 |
| A global travelers' electronic health record template standard for personal health records | 17.2 | 0 | 1 |
| Influenza surveillance using electronic health records in the American Indian and Alaska Native population | 17.2 | 0 | 1 |
| Infected physicians and invasive procedures: safe practice management | 17.2 | 0 | 1 |
| Electronic health records: high-quality electronic data for higher-quality clinical research. | 17.2 | 0 | 1 |
| The effect of correlated neuronal firing and neuronal heterogeneity on population coding accuracy in guinea pig inferior colliculus | 17.2 | 0 | 1 |
| Prior authorization made simple. | 17.2 | 0 | 1 |
| Outcome and cost of trauma among the elderly: a real-life model of a single-payer reimbursement system | 17.2 | 0 | 1 |
| A retrospective analysis of the revocation of prior authorization restrictions and the use of antidepressant medications for treating major depressive disorder | 17.2 | 0 | 1 |
| Improving patient access to the Veterans Health Administration's primary care and specialty clinics | 17.2 | 0 | 1 |
| It Ain't Necessarily So: The Electronic Health Record And The Unlikely Prospect Of Reducing Health Care Costs | 17.2 | 0 | 1 |
| Routine data for disease surveillance in the undeveloped region of the OR Tambo district of the Eastern Cape Province | 17.2 | 0 | 1 |
| Automated Extraction of VTE Events From Narrative Radiology Reports in Electronic Health Records | 17.2 | 0 | 1 |
| Impact of Ongoing National Health Technology Assessment Challenges on Patient Access to New Therapies for Multiple Sclerosis In Germany And The Uk. | 17.2 | 0 | 1 |
| Electronic Health Record-Related Events in Medical Malpractice Claims. | 17.2 | 0 | 1 |
| Semi-supervised learning of the electronic health record for phenotype stratification | 17.2 | 0 | 1 |
| MISSING DATA IMPUTATION IN THE ELECTRONIC HEALTH RECORD USING DEEPLY LEARNED AUTOENCODERS. | 17.2 | 0 | 1 |
| The inadvertent disclosure of personal health information through peer-to-peer file sharing programs | 17.2 | 0 | 1 |
| We are bitter, but we are better off: case study of the implementation of an electronic health record system into a mental health hospital in England | 17.2 | 0 | 1 |
| Use of simulation to assess electronic health record safety in the intensive care unit: a pilot study | 17.2 | 0 | 1 |
| Accuracy of heart disease prevalence estimated from claims data compared with an electronic health record | 17.2 | 0 | 1 |
| Paperless by 2000: implementing EDI (electronic data interchange) for healthcare claims processing. | 17.2 | 0 | 1 |
| Using outcomes data and clinical process redesign: improving clinical services | 17.2 | 0 | 1 |
| Understanding differences in electronic health record (EHR) use: linking individual physicians' perceptions of uncertainty and EHR use patterns in ambulatory care | 17.2 | 0 | 1 |
| Importance of Health Information Technology, Electronic Health Records, and Continuously Aggregating Data to Comparative Effectiveness Research and Learning Health Care | 17.2 | 0 | 1 |
| A taste of individualized medicine: physicians' reactions to automated genetic interpretations | 17.2 | 0 | 1 |
| You and me and the computer makes three: variations in exam room use of the electronic health record | 17.2 | 0 | 1 |
| Development of a multi-institutional cohort to facilitate cardiovascular disease biomarker validation using existing biorepository samples linked to electronic health records | 17.2 | 0 | 1 |
| Evaluation and management of mild traumatic brain injury: an Eastern Association for the Surgery of Trauma practice management guideline | 17.2 | 0 | 1 |
| A framework for analyzing data from the electronic health record: verbal orders as a case in point | 17.2 | 0 | 1 |
| Using a medical simulation center as an electronic health record usability laboratory | 17.2 | 0 | 1 |
| Use of Electronic Health Records and Administrative Data for Public Health Surveillance of Eye Health and Vision-Related Conditions in the United States | 17.2 | 0 | 1 |
| Aiming for coding accuracy. Data governance is becoming critical factor in EHR implementation. | 17.2 | 0 | 1 |
| Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data | 17.2 | 0 | 1 |
| Improved cardiovascular risk prediction using nonparametric regression and electronic health record data. | 17.2 | 0 | 1 |
| Use of a hospital practice management system to provide initial data for a pediatric immunization registry | 17.2 | 0 | 1 |
| Barriers to retrieving patient information from electronic health record data: failure analysis from the TREC Medical Records Track | 17.2 | 0 | 1 |
| Modeling and executing electronic health records driven phenotyping algorithms using the NQF Quality Data Model and JBoss® Drools Engine | 17.2 | 0 | 1 |
| Combining knowledge and data driven insights for identifying risk factors using electronic health records | 17.2 | 0 | 1 |
| An evaluation of the NQF Quality Data Model for representing Electronic Health Record driven phenotyping algorithms | 17.2 | 0 | 1 |
| A Novel Approach to Supporting Relationship-Centered Care Through Electronic Health Record Ergonomic Training in Preclerkship Medical Education | 17.2 | 0 | 1 |
| Electronic health record functionality needed to better support primary care | 17.2 | 0 | 1 |
| Casebook: a virtual patient iPad application for teaching decision-making through the use of electronic health records | 17.2 | 0 | 1 |
| Challenges in data quality assurance for electronic health records | 17.2 | 0 | 1 |
| The Analytic Information Warehouse (AIW): a platform for analytics using electronic health record data | 17.2 | 0 | 1 |
| Data quality of an electronic health record tool to support VA cardiac catheterization laboratory quality improvement: the VA Clinical Assessment, Reporting, and Tracking System for Cath Labs (CART) program | 17.2 | 0 | 1 |
| How context affects electronic health record-based test result follow-up: a mixed-methods evaluation | 17.2 | 0 | 1 |
| Evaluation of data completeness in the electronic health record for the purpose of patient recruitment into clinical trials: a retrospective analysis of element presence | 17.2 | 0 | 1 |
| Comparison of the information provided by electronic health records data and a population health survey to estimate prevalence of selected health conditions and multimorbidity | 17.2 | 0 | 1 |
| Development of a 5 year life expectancy index in older adults using predictive mining of electronic health record data | 17.2 | 0 | 1 |
| MyPreventiveCare: implementation and dissemination of an interactive preventive health record in three practice-based research networks serving disadvantaged patients—a randomized cluster trial | 17.2 | 0 | 1 |
| Use of electronic health record data to identify skin and soft tissue infections in primary care settings: a validation study | 17.2 | 0 | 1 |
| Comparing electronic health record portals to obtain patient-entered family health history in primary care. | 17.2 | 0 | 1 |
| Model of data structure and flow in general practice: a guide to evaluation of practice management software | 17.2 | 0 | 1 |
| Factors associated with external ventricular drain placement accuracy: data from an electronic health record repository | 17.2 | 0 | 1 |
| Operational data integrity during electronic health record implementation in the ED. | 17.2 | 0 | 1 |
| Challenges in using electronic health record data for CER: experience of 4 learning organizations and solutions applied | 17.2 | 0 | 1 |
| Caveats for the use of operational electronic health record data in comparative effectiveness research | 17.2 | 0 | 1 |
| Applying active learning to high-throughput phenotyping algorithms for electronic health records data | 17.2 | 0 | 1 |
| Aligning complex processes and electronic health record templates: a quality improvement intervention on inpatient interdisciplinary rounds | 17.2 | 0 | 1 |
| Using electronic health records data to identify patients with chronic pain in a primary care setting | 17.2 | 0 | 1 |
| Utilizing electronic health record data to determine the health of the medication process after the relocation of a children's hospital | 17.2 | 0 | 1 |
| Developing a self-service query interface for re-using de-identified electronic health record data | 17.2 | 0 | 1 |
| Integrating population- and patient-level data for secondary use of electronic health records to study overweight and obesity | 17.2 | 0 | 1 |
| Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing | 17.2 | 0 | 1 |
| Multicentre clinical trials' data management: a hybrid solution to exploit the strengths of electronic data capture and electronic health records systems. | 17.2 | 0 | 1 |
| Process redesign: making your film library work for you. | 17.2 | 0 | 1 |
| Measuring Diabetes Care Performance Using Electronic Health Record Data: The Impact of Diabetes Definitions on Performance Measure Outcomes | 17.2 | 0 | 1 |
| From market access to patient access: overview of evidence-based approaches for the reimbursement and pricing of pharmaceuticals in 36 European countries | 17.2 | 0 | 1 |
| Conceptual alignment of electronic health record data with guideline and workflow knowledge | 17.2 | 0 | 1 |
| Medication Class Effects on Visit‐to‐Visit Variability of Blood Pressure Measurements: Analysis of Electronic Health Record Data in the “Real World” | 17.2 | 0 | 1 |
| Quality and Cost Improvement of Healthcare via Complementary Measurement and Diagnosis of Patient General Health Outcome Using Electronic Health Record Data: Research Rationale and Design | 17.2 | 0 | 1 |
| Data migration lessons learned: One facility relates hard-learned best practices after migrating to a new EHR | 17.2 | 0 | 1 |
| HIM's role in managing big data: Turning data collected by an EHR into information | 17.2 | 0 | 1 |
| Sociotechnical challenges to developing technologies for patient access to health information exchange data | 17.2 | 0 | 1 |
| Practical challenges in integrating genomic data into the electronic health record | 17.2 | 0 | 1 |
| Automated analysis of electronic medical record data reflects the pathophysiology of operative complications | 17.2 | 0 | 1 |
| Using electronic health record data to develop inpatient mortality predictive model: Acute Laboratory Risk of Mortality Score (ALaRMS) | 17.2 | 0 | 1 |
| Data processing and presentation for a personalised, image-driven medical graphical avatar | 17.2 | 0 | 1 |
| Use of near-real-time medical claims data to generate timely vaccine coverage estimates in the US: the dynamics of PCV13 vaccine uptake | 17.2 | 0 | 1 |
| Evaluation of Electronic Ambulatory Care Data for Influenza-Like Illness Surveillance, Washington State | 17.2 | 0 | 1 |
| Digital family histories for data mining | 17.2 | 0 | 1 |
| Billing code algorithms to identify cases of peripheral artery disease from administrative data | 17.2 | 0 | 1 |
| Using aggregated, de-identified electronic health record data for multivariate pharmacosurveillance: a case study of azathioprine | 17.2 | 0 | 1 |
| 2014 Edition Electronic Health Record certification criteria: revision to the definition of "common Meaningful Use (MU) Data Set." Interim final rule with comment period | 17.2 | 0 | 1 |
| Data extraction from electronic health records - existing tools may be unreliable and potentially unsafe | 17.2 | 0 | 1 |
| Meaningful use of patient-generated data in EHRs | 17.2 | 0 | 1 |
| Using Electronic Health Record Data to Develop and Validate a Prediction Model for Adverse Outcomes in the Wards* | 17.2 | 0 | 1 |
| Bias in recording of body mass index data in the electronic health record | 17.2 | 0 | 1 |
| Digging for gold. Data mining yields better health outcomes and profits for practice professionals who seek improvements to care delivery | 17.2 | 0 | 1 |
| Jumping into the deep end of the data pool | 17.2 | 0 | 1 |
| Using Electronic Medical Record Data to Characterize the Level of Medication Use by Age-Groups in a Network of Primary Care Clinics | 17.2 | 0 | 1 |
| A multicenter study of the coding accuracy of hospital discharge administrative data for patients admitted to cardiac care units in Ontario | 17.2 | 0 | 1 |
| Real-time database drawn from an electronic health record for a thoracic surgery unit: high-quality clinical data saving time and human resources | 17.2 | 0 | 1 |
| Validating Emergency Department Vital Signs Using a Data Quality Engine for Data Warehouse | 17.2 | 0 | 1 |
| An elegant solution to improve workflow. This EHR enables clinicians to capture structured data at the POC | 17.2 | 0 | 1 |
| A European inventory of common electronic health record data elements for clinical trial feasibility | 17.2 | 0 | 1 |
| Data use and effectiveness in electronic surveillance of healthcare associated infections in the 21st century: a systematic review | 17.2 | 0 | 1 |
| Using computer-extracted data from electronic health records to measure the quality of adolescent well-care. | 17.2 | 0 | 1 |
| A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions | 17.2 | 0 | 1 |
| A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data | 17.2 | 0 | 1 |
| Accuracy of Electronic Health Record-Derived Data for the Identification of Incident ADHD. | 17.2 | 0 | 1 |
| A simple method to extract key maternal data from neonatal clinical notes | 17.2 | 0 | 1 |
| Place matters: the problems and possibilities of spatial data in electronic health records | 17.2 | 0 | 1 |
| Sick patients have more data: the non-random completeness of electronic health records | 17.2 | 0 | 1 |
| Clinical Documentation and Data Transfer from Ebola and Marburg Virus Disease Wards in Outbreak Settings: Health Care Workers’ Experiences and Preferences | 17.2 | 0 | 1 |
| Linkage methods for connecting children with parents in electronic health record and state public health insurance data | 17.2 | 0 | 1 |
| Practice characteristics and prior authorization costs: secondary analysis of data collected by SALT-Net in 9 central New York primary care practices | 17.2 | 0 | 1 |
| Big data, advanced analytics and the future of comparative effectiveness research | 17.2 | 0 | 1 |
| Developing evidence-based tools from EHR data | 17.2 | 0 | 1 |
| Temporal representation of care trajectories of cancer patients using data from a regional information system: an application in breast cancer | 17.2 | 0 | 1 |
| A framework to preserve the privacy of electronic health data streams | 17.2 | 0 | 1 |
| Prevalence of Heart Failure Signs and Symptoms in a Large Primary Care Population Identified Through the Use of Text and Data Mining of the Electronic Health Record | 17.2 | 0 | 1 |
| Using a Scripted Data Entry Process to Transfer Legacy Immunization Data While Transitioning Between Electronic Medical Record Systems | 17.2 | 0 | 1 |
| Data and knowledge in medical distributed applications | 17.2 | 0 | 1 |
| Care.data doesn't care enough about consent | 17.2 | 0 | 1 |
| Can electronic web-based technology improve quality of life data collection? Analysis of Radiation Therapy Oncology Group 0828 | 17.2 | 0 | 1 |
| A Survey Aimed at General Citizens of the US and Japan about Their Attitudes toward Electronic Medical Data Handling | 17.2 | 0 | 1 |
| Utilizing Electronic Health Record Information to Optimize Medication Infusion Devices: A Manual Data Integration Approach | 17.2 | 0 | 1 |
| Evaluation of two‐fold fully conditional specification multiple imputation for longitudinal electronic health record data | 17.2 | 0 | 1 |
| Feasibility of integrating research data collection into routine clinical practice using the electronic health record. | 17.2 | 0 | 1 |
| Using Data from Ambient Assisted Living and Smart Homes in Electronic Health Records | 17.2 | 0 | 1 |
| Engaged: The Potentially Rocky Marriage of Patients and Their Digital Data | 17.2 | 0 | 1 |
| Transfer learning based clinical concept extraction on data from multiple sources | 17.2 | 0 | 1 |
| Community-level determinants of obesity: harnessing the power of electronic health records for retrospective data analysis | 17.2 | 0 | 1 |
| Big data and the electronic health record | 17.2 | 0 | 1 |
| Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth Study | 17.2 | 0 | 1 |
| Hidden in plain sight: bias towards sick patients when sampling patients with sufficient electronic health record data for research | 17.2 | 0 | 1 |
| Policy‐Based Approach to Emergency Bio‐Data Management for Mobile Healthcare | 17.2 | 0 | 1 |
| Julius--a template based supplementary electronic health record system | 17.2 | 0 | 1 |
| Publishing data from electronic health records while preserving privacy: A survey of algorithms | 17.2 | 0 | 1 |
| Applied nursing informatics research - state-of-the-art methodologies using electronic health record data | 17.2 | 0 | 1 |
| The Electronic Health Record Objective Structured Clinical Examination: Assessing Student Competency in Patient Interactions While Using the Electronic Health Record | 17.2 | 0 | 1 |
| A ‘Green Button’ For Using Aggregate Patient Data At The Point Of Care | 17.2 | 0 | 1 |
| Turning Electronic Health Record Data Into Meaningful Information Using SQL and Nursing Informatics | 17.2 | 0 | 1 |
| Radiosurgery for treatment of brain metastases: estimation of patient eligibility using three stratification systems. | 17.2 | 0 | 1 |
| Electronic clinical records: having the right data to navigate through the perfect storm | 17.2 | 0 | 1 |
| Data-driven discovery of seasonally linked diseases from an Electronic Health Records system | 17.2 | 0 | 1 |
| Factors associated with clinically significant increased walking time in multiple sclerosis: Results of a survival analysis of short-term follow-up data from a clinical database | 17.2 | 0 | 1 |
| “Big Data” and the Electronic Health Record | 17.2 | 0 | 1 |
| Clinical research informatics and electronic health record data | 17.2 | 0 | 1 |
| Using electronic health record data to evaluate preventive service utilization among uninsured safety net patients | 17.2 | 0 | 1 |
| The Big To Do About “Big Data” | 17.2 | 0 | 1 |
| Healthcare utilization in general practice before and after psychological treatment: A follow-up data linkage study in primary care | 17.2 | 0 | 1 |
| Extension of GWAS results for lipid-related phenotypes to extreme obesity using electronic health record (EHR) data and the Metabochip | 17.2 | 0 | 1 |
| Analysis of free text in electronic health records for identification of cancer patient trajectories | 17.2 | 0 | 1 |
| Detailed Clinical Models: Representing Knowledge, Data and Semantics in Healthcare Information Technology | 17.2 | 0 | 1 |
| Enhancing central cancer registry treatment data using physician medical claims: a Florida pilot project | 17.2 | 0 | 1 |
| Personalized Fall Risk Assessment Tool by using the Data Treasure contained in Mobile Electronic Patient Records | 17.2 | 0 | 1 |
| Quality improvement, reimbursement drive quest for patient satisfaction data | 17.2 | 0 | 1 |
| Groups with NPPs expand patient access. MGMA report provides overview of NPP use, combining data with analysis | 17.2 | 0 | 1 |
| The effects of data sources, cohort selection, and outcome definition on a predictive model of risk of thirty-day hospital readmissions | 17.2 | 0 | 1 |
| Physicians, EHR vendors struggle with Meaningful Use 2, data shows | 17.2 | 0 | 1 |
| Emerging uses of patient generated health data in clinical research | 17.2 | 0 | 1 |
| The role of data in care. A roundup of what's new and next from the annual ZOLL user summit | 17.2 | 0 | 1 |
| A temporal pattern mining approach for classifying electronic health record data | 17.2 | 0 | 1 |
| The Pediatrix BabySteps® Data Warehouse — A Unique National Resource for Improving Outcomes for Neonates | 17.2 | 0 | 1 |
| PTSD Diagnoses Among Iraq and Afghanistan Veterans: Comparison of Administrative Data to Chart Review | 17.2 | 0 | 1 |
| AUTOMATIC DATA PROCESSING IN HOSPITALS: PATIENT ACCOUNTS RECEIVABLE QUICKLY ITEMIZED | 17.2 | 0 | 1 |
| A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data | 17.2 | 0 | 1 |
| Consistency of denominator data in electronic health records in Australian primary healthcare services: enhancing data quality | 17.2 | 0 | 1 |
| OPAL: a clinician driven point of care observational data management consortium | 17.2 | 0 | 1 |
| NOR-DMARD data management: implementation of data capture from electronic health records. | 17.2 | 0 | 1 |
| Using Electronic Health Records for Surgical Quality Improvement in the Era of Big Data | 17.2 | 0 | 1 |
| Using an Automated Data-driven, EHR-Embedded Program for Mailing FIT kits: Lessons from the STOP CRC Pilot Study | 17.2 | 0 | 1 |
| The Snow System: A Decentralized Medical Data Processing System | 17.2 | 0 | 1 |
| Should we use outcomes data to help manage general practice? | 17.2 | 0 | 1 |
| A Study of Clinical Coding Accuracy in Surgery: Implications for the Use of Administrative Big Data for Outcomes Management | 17.2 | 0 | 1 |
| Data-driven human rights: using the electronic health record to promote human rights in jail. | 17.2 | 0 | 1 |
| Point and Counterpoint: Patient Control of Access to Data in Their Electronic Health Records | 17.2 | 0 | 1 |
| Category:Accounts receivable | 17.2 | 0 | 1 |
| Treatment Patterns and Outcomes among Hospitalized Patients with Venous Thromboembolism in the United States: An Analysis of Electronic Health Records Data | 17.2 | 0 | 1 |
| Sharing of clinical data in a maternity setting: how do paper hand-held records and electronic health records compare for completeness? | 17.2 | 0 | 1 |
| Analysis effects of shuxuening injection on patient's liver function based on electronic medical data | 17.2 | 0 | 1 |
| Data quality of general practice electronic health records: the impact of a program of assessments, feedback, and training | 17.2 | 0 | 1 |
| Linking electronic health records with community‐level data to understand childhood obesity risk | 17.2 | 0 | 1 |
| Electronic Health Records and Transgender Patients—Practical Recommendations for the Collection of Gender Identity Data | 17.2 | 0 | 1 |
| Accuracy of using automated methods for detecting adverse events from electronic health record data: a research protocol | 17.2 | 0 | 1 |
| A platform for real-time acquisition and analysis of physiological data in hospital emergency departments | 17.2 | 0 | 1 |
| Integrating research data capture into the electronic health record workflow: real-world experience to advance innovation | 17.2 | 0 | 1 |
| Impact of incorporating pharmacy claims data into electronic medication reconciliation | 17.2 | 0 | 1 |
| Incorporation of personal single nucleotide polymorphism (SNP) data into a national level electronic health record for disease risk assessment, part 1: an overview of requirements. | 17.2 | 0 | 1 |
| Incorporation of personal single nucleotide polymorphism (SNP) data into a national level electronic health record for disease risk assessment, part 2: the incorporation of SNP into the national health information system of Turkey. | 17.2 | 0 | 1 |
| Incorporation of personal single nucleotide polymorphism (SNP) data into a national level electronic health record for disease risk assessment, part 3: an evaluation of SNP incorporated national health information system of Turkey for prostate cance | 17.2 | 0 | 1 |
| Efficient Execution Methods of Pivoting for Bulk Extraction of Entity-Attribute-Value-Modeled Data | 17.2 | 0 | 1 |
| N-Acetylcysteine (NAC)-Induced Hyponatremia Caused by an Electronic Medical Record (EMR) Order Error | 17.2 | 0 | 1 |
| Predicting 30-day readmissions with preadmission electronic health record data | 17.2 | 0 | 1 |
| Structured Data Capture from Multiple EMRs: Towards an Architecture for Clinical Research | 17.2 | 0 | 1 |
| Data collection using the electronic health record: lessons learned from the chart review process. | 17.2 | 0 | 1 |
| Informatics harnesses healthcare's wild, rich data | 17.2 | 0 | 1 |
| A longitudinal study about the effect of practicing Yan Xin Qigong on medical care cost with medical claims data | 17.2 | 0 | 1 |
| Actual and perceived exposure to electromagnetic fields and non-specific physical symptoms: An epidemiological study based on self-reported data and electronic medical records | 17.2 | 0 | 1 |
| The era of big data | 17.2 | 0 | 1 |
| Management of Laboratory Data and Information Exchange in the Electronic Health Record | 17.2 | 0 | 1 |
| Role of data warehousing in healthcare epidemiology | 17.2 | 0 | 1 |
| A retrospective analysis of 602 Kawasaki disease cases with electronic data capture system | 17.2 | 0 | 1 |
| Privacy/data breach coverage: protect your practice | 17.2 | 0 | 1 |
| Imputing Missing Race/Ethnicity in Pediatric Electronic Health Records: Reducing Bias with Use of U.S. Census Location and Surname Data | 17.2 | 0 | 1 |
| Incidence, prevalence and 1-year all-cause mortality of heart failure in Germany: a study based on electronic healthcare data of more than six million persons | 17.2 | 0 | 1 |
| NIDA Clinical Trials Network Common Data Elements Initiative: Advancing Big-Data Addictive-Disorders Research | 17.2 | 0 | 1 |
| How the Provenance of Electronic Health Record Data Matters for Research: A Case Example Using System Mapping | 17.2 | 0 | 1 |
| Toward noninvasive quantification of brain radioligand binding by combining electronic health records and dynamic PET imaging data | 17.2 | 0 | 1 |
| Lessons from the central Hampshire electronic health record pilot project: issues of data protection and consent | 17.2 | 0 | 1 |
| Transforming Data From Information to Quality Improvement: A Panel Discussion With Electronic Health Record Vendors | 17.2 | 0 | 1 |
| Capturing Structured, Pulmonary Disease-Specific Data Elements in Electronic Health Records | 17.2 | 0 | 1 |
| In Search of a Data-in-Once, Electronic Health Record-Linked, Multicenter Registry— How Far We Have Come and How Far We Still Have to Go | 17.2 | 0 | 1 |
| Recommendations for the use of operational electronic health record data in comparative effectiveness research | 17.2 | 0 | 1 |
| Managing the security of nursing data in the electronic health record | 17.2 | 0 | 1 |
| Severity of Disease Estimation and Risk-Adjustment for Comparison of Outcomes in Mechanically Ventilated Patients Using Electronic Routine Care Data | 17.2 | 0 | 1 |
| Supporting health insurance expansion: do electronic health records have valid insurance verification and enrollment data? | 17.2 | 0 | 1 |
| Increasing the efficiency and yield of a tuberculosis contact investigation through electronic data systems matching | 17.2 | 0 | 1 |
| Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis | 17.2 | 0 | 1 |
| Hands-Free Image Capture, Data Tagging and Transfer Using Google Glass: A Pilot Study for Improved Wound Care Management | 17.2 | 0 | 1 |
| Downloading Electronic Health Record Data With a Blue Button or Green Button | 17.2 | 0 | 1 |
| Development of an Alert System to Detect Drug Interactions with Herbal Supplements using Medical Record Data | 17.2 | 0 | 1 |
| Using Anchors to Estimate Clinical State without Labeled Data | 17.2 | 0 | 1 |
| What Is Asked in Clinical Data Request Forms? A Multi-site Thematic Analysis of Forms Towards Better Data Access Support | 17.2 | 0 | 1 |
| Piloting a deceased subject integrated data repository and protecting privacy of relatives | 17.2 | 0 | 1 |
| Characterization of a handoff documentation tool through usage log data | 17.2 | 0 | 1 |
| Locating relevant patient information in electronic health record data using representations of clinical concepts and database structures | 17.2 | 0 | 1 |
| Concordance of Electronic Health Record (EHR) Data Describing Delirium at a VA Hospital | 17.2 | 0 | 1 |
| The Gap in Big Data: Getting to Wellbeing, Strengths, and a Whole-person Perspective | 17.2 | 0 | 1 |
| Evaluation of compliance with recommendations of prevention of thromboembolism in atrial fibrillation in the elderly, by data reuse of electronic health records | 17.2 | 0 | 1 |
| Mortality of People with Intellectual and Developmental Disabilities from SelectUSState Disability Service Systems and Medical Claims Data | 17.2 | 0 | 1 |
| Does electronic health record use improve hospital financial performance? Evidence from panel data | 17.2 | 0 | 1 |
| MonDossierMedical.ch: an Efficient Tool for Sharing Medical Data Between Patients and Doctors | 17.2 | 0 | 1 |
| Radiology Reporting System Data Exchange With the Electronic Health Record System: A Case Study in Iran. | 17.2 | 0 | 1 |
| Long term preservation of electronic health records. Recommendations in a large teaching hospital in Belgium. | 17.2 | 0 | 1 |
| Data Security, HIPAA Compliance: Steps to Prevent a Data Breach in Your Dental Practice | 17.2 | 0 | 1 |
| Public health nurse perceptions of Omaha System data visualization | 17.2 | 0 | 1 |
| Extracting antipsychotic polypharmacy data from electronic health records: developing and evaluating a novel process | 17.2 | 0 | 1 |
| THE BATTLE OVER PATIENT DATA. How to secure your access | 17.2 | 0 | 1 |
| Characterizing Patient-Generated Clinical Data and Associated Implications for Electronic Health Records | 17.2 | 0 | 1 |
| Automated Detection of Postoperative Surgical Site Infections Using Supervised Methods with Electronic Health Record Data | 17.2 | 0 | 1 |
| Evaluating the data completeness in the Electronic Health Record after the Implementation of an Outpatient Electronic Health Record | 17.2 | 0 | 1 |
| End-User Experiences and Expectations Regarding Data Registration and Reuse Before the Implementation of a (New) Electronic Health Record: A Case Study in Two University Hospitals | 17.2 | 0 | 1 |
| Utilizing Dental Electronic Health Records Data to Predict Risk for Periodontal Disease | 17.2 | 0 | 1 |
| A Sequential Data Analysis Approach to Electronic Health Record Workflow | 17.2 | 0 | 1 |
| Conformance Analysis of Clinical Pathway Using Electronic Health Record Data. | 17.2 | 0 | 1 |
| RISKS AND OPPORTUNITIES OF DATA MINING THE ELECTRONIC MEDICAL RECORD | 17.2 | 0 | 1 |
| Effects of Common Data Errors in Electronic Health Records on Emergency Department Operational Performance Metrics: A Monte Carlo Simulation. | 17.2 | 0 | 1 |
| Mining EHR data for quality improvement. How physicians can provide better care and adhere to quality metrics, and why its important to start now | 17.2 | 0 | 1 |
| Protecting health data in a troubling time. Understand who and what you're up against | 17.2 | 0 | 1 |
| Visualizing Anomalies in Electronic Health Record Data: The Variability Explorer Tool | 17.2 | 0 | 1 |
| ReCAP: Feasibility and Accuracy of Extracting Cancer Stage Information From Narrative Electronic Health Record Data | 17.2 | 0 | 1 |
| Algorithms to identify colonic ischemia, complications of constipation and irritable bowel syndrome in medical claims data: development and validation | 17.2 | 0 | 1 |
| Nurse Continuity and Hospital-Acquired Pressure Ulcers: A Comparative Analysis Using an Electronic Health Record "Big Data" Set. | 17.2 | 0 | 1 |
| Mining electronic health record data: finding the gold nuggets | 17.2 | 0 | 1 |
| Identification of Nonresponse to Treatment Using Narrative Data in an Electronic Health Record Inflammatory Bowel Disease Cohort | 17.2 | 0 | 1 |
| Calculations of Financial Incentives for Providers in a Pay-for-Performance Program: Manual Review Versus Data From Structured Fields in Electronic Health Records | 17.2 | 0 | 1 |
| Unpatients—why patients should own their medical data | 17.2 | 0 | 1 |
| Real-time prediction of mortality, readmission, and length of stay using electronic health record data. | 17.2 | 0 | 1 |
| Impact on Drug Safety of Variation in Adherence: The Need for Routinely Reporting Measures of Dose Intensity in Medication Safety Studies Using Electronic Health Data | 17.2 | 0 | 1 |
| Implementation of a web based universal exchange and inference language for medicine: Sparse data, probabilities and inference in data mining of clinical data repositories | 17.2 | 0 | 1 |
| Substance use and mental diagnoses among adults with and without type 2 diabetes: Results from electronic health records data | 17.2 | 0 | 1 |
| Paving the COWpath: Learning and visualizing clinical pathways from electronic health record data | 17.2 | 0 | 1 |
| Accuracy and validity of using medical claims data to identify episodes of hospitalizations in patients with COPD. | 17.2 | 0 | 1 |
| The core data elements of electronic health record in Finland | 17.2 | 0 | 1 |
| Wireless transfer of sensor data into electronic health records | 17.2 | 0 | 1 |
| Application of process mining to assess the data quality of routinely collected time-based performance data sourced from electronic health records by validating process conformance | 17.2 | 0 | 1 |
| Learning probabilistic phenotypes from heterogeneous EHR data | 17.2 | 0 | 1 |
| 7 Steps to Prevent a Data Breach | 17.2 | 0 | 1 |
| Structured data quality reports to improve EHR data quality | 17.2 | 0 | 1 |
| Learning About Missing Data Mechanisms in Electronic Health Records-based Research: A Survey-based Approach | 17.2 | 0 | 1 |
| Modest Associations Between Electronic Health Record Use and Acute Myocardial Infarction Quality of Care and Outcomes: Results From the National Cardiovascular Data Registry | 17.2 | 0 | 1 |
| A case for manual entry of structured, coded laboratory data from multiple sources into an ambulatory electronic health record | 17.2 | 0 | 1 |
| Unlocking Electronic Health Record Data Helps Drive Behavioral Health Population Management | 17.2 | 0 | 1 |
| Identifying opportunities in EHR to improve the quality of antibiotic allergy data | 17.2 | 0 | 1 |
| Using electronic health record data for substance use Screening, Brief Intervention, and Referral to Treatment among adults with type 2 diabetes: Design of a National Drug Abuse Treatment Clinical Trials Network study | 17.2 | 0 | 1 |
| Integration of genomic data in Electronic Health Records--opportunities and dilemmas | 17.2 | 0 | 1 |
| Cost-benefit assessment of using electronic health records data for clinical research versus current practices: Contribution of the Electronic Health Records for Clinical Research (EHR4CR) European Project | 17.2 | 0 | 1 |
| Use of Administrative Data for the Identificationof Laboratory-Confirmed Influenza Infection: The Validity ofInfluenza-Specific ICD-9 Codes | 17.2 | 0 | 1 |
| Neurosurgery clinical registry data collection utilizing Informatics for Integrating Biology and the Bedside and electronic health records at the University of Rochester | 17.2 | 0 | 1 |
| Unstructured medical image query using big data – An epilepsy case study | 17.2 | 0 | 1 |
| Development of a large urban longitudinal HIV clinical cohort using a web-based platform to merge electronically and manually abstracted data from disparate medical record systems: technical challenges and innovative solutions | 17.2 | 0 | 1 |
| An Approach to Acquiring, Normalizing, and Managing EHR Data From a Clinical Data Repository for Studying Pressure Ulcer Outcomes | 17.2 | 0 | 1 |
| Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health records | 17.2 | 0 | 1 |
| Prediction of health outcomes using big (health) data | 17.2 | 0 | 1 |
| Influences on the decision to use an osteoarthritis diagnosis in primary care: a cohort study with linked survey and electronic health record data | 17.2 | 0 | 1 |
| The value of structured data elements from electronic health records for identifying subjects for primary care clinical trials. | 17.2 | 0 | 1 |
| Innovations in chronic care delivery using data-driven clinical pathways | 17.2 | 0 | 1 |
| Private Data Analytics on Biomedical Sensing Data via Distributed Computation | 17.2 | 0 | 1 |
| Maternal metabolic risk factors for autism spectrum disorder—An analysis of electronic medical records and linked birth data | 17.2 | 0 | 1 |
| Bisphosphonates are associated with increased risk for jaw surgery in medical claims data: is it osteonecrosis? | 17.2 | 0 | 1 |
| My Health Record to deliver “new class” of data | 17.2 | 0 | 1 |
| Standardized exchange of medical data between a research database, an electronic patient record and an electronic health record using CDA/SCIPHOX. | 17.2 | 0 | 1 |
| Factors associated with difficult electronic health record implementation in office practice | 17.2 | 0 | 1 |
| Electronic Data Systems and Acute Kidney Injury | 17.2 | 0 | 1 |
| Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research | 17.2 | 0 | 1 |
| Including Patient-Generated Health Data in Electronic Health Records | 17.2 | 0 | 1 |
| Integrating patient voices into health information for self-care and patient-clinician partnerships: Veterans Affairs design recommendations for patient-generated data applications | 17.2 | 0 | 1 |
| Predicting all‐cause readmissions using electronic health record data from the entire hospitalization: Model development and comparison | 17.2 | 0 | 1 |
| Development and validation of an electronic frailty index using routine primary care electronic health record data | 17.2 | 0 | 1 |
| Evolving Patient Compliance Trends: Integrating Clinical, Insurance, and Extrapolated Socioeconomic Data | 17.2 | 0 | 1 |
| Veterans Health Administration Experience with Data Quality Surveillance of Continuity of Care Documents: Interoperability Challenges for eHealth Exchange Participants | 17.2 | 0 | 1 |
| Identifying the Clinical Laboratory Tests from Unspecified "Other Lab Test" Data for Secondary Use | 17.2 | 0 | 1 |
| Data-driven Temporal Prediction of Surgical Site Infection | 17.2 | 0 | 1 |
| Comparing the Performance of NoSQL Approaches for Managing Archetype-Based Electronic Health Record Data | 17.2 | 0 | 1 |
| Using Electronic Health Record Data for Healthy Weight Surveillance in Children, San Diego, California, 2014 | 17.2 | 0 | 1 |
| Merging Electronic Health Record Data and Genomics for Cardiovascular Research: A Science Advisory From the American Heart Association | 17.2 | 0 | 1 |
| Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods | 17.2 | 0 | 1 |
| A novel approach to leveraging electronic health record data to enhance pediatric surgical quality improvement bundle process compliance. | 17.2 | 0 | 1 |
| Using medical billing data to evaluate chronically ill children over time | 17.2 | 0 | 1 |
| Preserving temporal relations in clinical data while maintaining privacy | 17.2 | 0 | 1 |
| Can You Beat the Data Thieves? | 17.2 | 0 | 1 |
| Automated integration of continuous glucose monitor data in the electronic health record using consumer technology | 17.2 | 0 | 1 |
| Optimising the use of observational electronic health record data: Current issues, evolving opportunities, strategies and scope for collaboration | 17.2 | 0 | 1 |
| Comparison of methodologies for calculating quality measures based on administrative data versus clinical data from an electronic health record system: implications for performance measures | 17.2 | 0 | 1 |
| Urban Park Development and Pediatric Obesity Rates: A Quasi-Experiment Using Electronic Health Record Data | 17.2 | 0 | 1 |
| Retrieving Clinical and Omic Data from Electronic Health Records | 17.2 | 0 | 1 |
| Nursing minimum data set in the multidisciplinary electronic health record. | 17.2 | 0 | 1 |
| Missing clinical and behavioral health data in a large electronic health record (EHR) system | 17.2 | 0 | 1 |
| Research networks: can we use data from GPs' electronic health records? | 17.2 | 0 | 1 |
| Opportunities and Challenges in Leveraging Electronic Health Record Data in Oncology | 17.2 | 0 | 1 |
| An efficient approach for surveillance of childhood diabetes by type derived from electronic health record data: the SEARCH for Diabetes in Youth Study | 17.2 | 0 | 1 |
| Development of a Prediction Model of Early Acute Kidney Injury in Critically Ill Children Using Electronic Health Record Data. | 17.2 | 0 | 1 |
| Developing Methods of Repurposing Electronic Health Record Data for Identification of Older Adults at Risk of Unintentional Falls | 17.2 | 0 | 1 |
| Extracting Electronic Health Record Data in a Practice-Based Research Network: Processes to Support Translational Research across Diverse Practice Organizations | 17.2 | 0 | 1 |
| Determination of Minimum Data Set (MSD) in Echocardiography Reporting System to Exchange with Iran's Electronic Health Record (EHR) System | 17.2 | 0 | 1 |
| On educating about medical data management - the other side of the electronic health record. | 17.2 | 0 | 1 |
| EVALUATING RISK-PREDICTION MODELS USING DATA FROM ELECTRONIC HEALTH RECORDS. | 17.2 | 0 | 1 |
| Clinicians recognize value of patient review of their electronic health record data | 17.2 | 0 | 1 |
| Exploring Concordance of Patient-Reported Information on PatientsLikeMe and Medical Claims Data at the Patient Level | 17.2 | 0 | 1 |
| Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review | 17.2 | 0 | 1 |
| User-composable Electronic Health Record Improves Efficiency of Clinician Data Viewing for Patient Case Appraisal: A Mixed-Methods Study | 17.2 | 0 | 1 |
| Practices go beyond basics with EDI. Clinics are starting to use electronic data interchange for more than just claims processing | 17.2 | 0 | 1 |
| Variation between Hospitals with Regard to Diagnostic Practice, Coding Accuracy, and Case-Mix. A Retrospective Validation Study of Administrative Data versus Medical Records for Estimating 30-Day Mortality after Hip Fracture. | 17.2 | 0 | 1 |
| Using Random Forest Models to Identify Correlates of a Diabetic Peripheral Neuropathy Diagnosis from Electronic Health Record Data | 17.2 | 0 | 1 |
| Negative findings in electronic health records and biomedical ontologies: a realist approach | 17.2 | 0 | 1 |
| Validity of cluster headache diagnoses in an electronic health record data repository | 17.2 | 0 | 1 |
| Use of Electronic Health Record Data to Evaluate the Impact of Race on 30-Day Mortality in Patients Admitted to the Intensive Care Unit | 17.2 | 0 | 1 |
| Toward a More Robust and Efficient Usability Testing Method of Clinical Decision Support for Nurses Derived From Nursing Electronic Health Record Data | 17.2 | 0 | 1 |
| Using primary care electronic health record data for comparative effectiveness research: experience of data quality assessment and preprocessing in The Netherlands | 17.2 | 0 | 1 |
| Using Electronic Health Record Data to Measure Care Quality for Individuals with Multiple Chronic Medical Conditions | 17.2 | 0 | 1 |
| Integrating data from an online diabetes prevention program into an electronic health record and clinical workflow, a design phase usability study | 17.2 | 0 | 1 |
| Older people home care through electronic health records: functions, data elements and security needs | 17.2 | 0 | 1 |
| Using a Data Quality Framework to Clean Data Extracted from the Electronic Health Record: A Case Study | 17.2 | 0 | 1 |
| Implementing partnership-driven clinical federated electronic health record data sharing networks. | 17.2 | 0 | 1 |
| Electronic Health Records Data and Metadata: Challenges for Big Data in the United States | 17.2 | 0 | 1 |
| Assessment of Administrative Medical Claims Data for Public Health Surveillance of Invasive Group A Streptococcal Necrotizing Fasciitis in Tennessee | 17.2 | 0 | 1 |
| Going Beyond Administrative Data: Retrospective Evaluation of an Algorithm Using the Electronic Health Record to Help Identify Bleeding Events Among Hospitalized Medical Patients on Warfarin | 17.2 | 0 | 1 |
| Referrals to integrative medicine in a tertiary hospital: findings from electronic health record data and qualitative interviews. | 17.2 | 0 | 1 |
| Laser dentistry practice management | 17.2 | 0 | 1 |
| Electronic Health Record in Italy and Personal Data Protection | 17.2 | 0 | 1 |
| Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. | 17.2 | 0 | 1 |
| Meaningful Use of Electronic Health Records and Medicare Expenditures: Evidence from a Panel Data Analysis of U.S. Health Care Markets, 2010-2013. | 17.2 | 0 | 1 |
| Research Reproducibility in Longitudinal Multi-Center Studies Using Data from Electronic Health Records | 17.2 | 0 | 1 |
| Development of a Data Abstraction Form: Getting What You Need From the Electronic Health Record. | 17.2 | 0 | 1 |
| From Value Assessment to Value Cocreation: Informing Clinical Decision-Making with Medical Claims Data | 17.2 | 0 | 1 |
| Retrospective analysis of data from an itch center: Integrating validated tools in the electronic health record | 17.2 | 0 | 1 |
| Diffusion of electronic health records--six years of empirical data | 17.2 | 0 | 1 |
| Estimating Generic Drug Use with Electronic Health Records Data from a Health Care Delivery System: Implications for Quality Improvement and Research | 17.2 | 0 | 1 |
| Using Electronic Health Record Data to Identify Prostate Cancer Patients That May Qualify for Active Surveillance. | 17.2 | 0 | 1 |
| Comparison of Approaches for Heart Failure Case Identification From Electronic Health Record Data | 17.2 | 0 | 1 |
| A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data | 17.2 | 0 | 1 |
| -Omic and Electronic Health Record Big Data Analytics for Precision Medicine | 17.2 | 0 | 1 |
| The impact of electronic health record (EHR) interoperability on immunization information system (IIS) data quality | 17.2 | 0 | 1 |
| Use of Therapeutic Drug Monitoring, Electronic Health Record Data, and Pharmacokinetic Modeling to Determine the Therapeutic Index of Phenytoin and Lamotrigine. | 17.2 | 0 | 1 |
| A method for extracting electronic patient record data from practice management software systems used in veterinary practice. | 17.2 | 0 | 1 |
| Data from electronic health records to search for rare clinical events | 17.2 | 0 | 1 |
| Natural Language Processing-Enabled and Conventional Data Capture Methods for Input to Electronic Health Records: A Comparative Usability Study | 17.2 | 0 | 1 |
| Data extraction from electronic health records (EHRs) for quality measurement of the physical therapy process: comparison between EHR data and survey data | 17.2 | 0 | 1 |
| Evaluation of the use of Swedish integrated electronic health records and register health care data as support clinical trials in severe asthma: the PACEHR study | 17.2 | 0 | 1 |
| Common data elements for secondary use of electronic health record data for clinical trial execution and serious adverse event reporting | 17.2 | 0 | 1 |
| Impacts of structuring the electronic health record: Results of a systematic literature review from the perspective of secondary use of patient data | 17.2 | 0 | 1 |
| Learning from heterogeneous temporal data in electronic health records | 17.2 | 0 | 1 |
| Using demographic data for ambulatory health care planning: a dental health practice management model | 17.2 | 0 | 1 |
| Security infrastructure services for electronic archives and electronic health records | 17.2 | 0 | 1 |
| Assessing the accuracy of opioid overdose and poisoning codes in diagnostic information from electronic health records, claims data, and death records | 17.2 | 0 | 1 |
| Electronic Health Record Data Versus the National Health and Nutrition Examination Survey (NHANES): A Comparison of Overweight and Obesity Rates. | 17.2 | 0 | 1 |
| Influenza epidemic surveillance and prediction based on electronic health record data from an out-of-hours general practitioner cooperative: model development and validation on 2003-2015 data | 17.2 | 0 | 1 |
| External validation and comparison of three prediction tools for risk of osteoporotic fractures using data from population based electronic health records: retrospective cohort study. | 17.2 | 0 | 1 |
| Clinical documentation improvement. A winning strategy in quality data and revenue cycle management | 17.2 | 0 | 1 |
| Voice-controlled data entry in dental electronic health record. | 17.2 | 0 | 1 |
| Exploratory analysis of medical coding practices: the relevance of reported data quality in obstetrics-gynaecology. | 17.2 | 0 | 1 |
| How Appropriate Is All This Data Sharing? Building Consensus Around What We Need to Know About Shared Electronic Health Records in Extended Circles of Care. | 17.2 | 0 | 1 |
| Documentation of delirium in the VA electronic health record | 17.2 | 0 | 1 |
| Childhood asthma surveillance using administrative data: consistency between medical billing and hospital discharge diagnoses | 17.2 | 0 | 1 |
| Can Electronic Health Records Be Used for Population Health Surveillance? Validating Population Health Metrics Against Established Survey Data | 17.2 | 0 | 1 |
| Opportunities for electronic health record data to support business functions in the pharmaceutical industry--a case study from Pfizer, Inc. | 17.2 | 0 | 1 |
| Accuracy and generalizability of using automated methods for identifying adverse events from electronic health record data: a validation study protocol | 17.2 | 0 | 1 |
| Mortality Risk Factors Among Patients With Cirrhosis and a Low Model for End-Stage Liver Disease Sodium Score (≤15): An Analysis of Liver Transplant Allocation Policy Using Aggregated Electronic Health Record Data. | 17.2 | 0 | 1 |
| What particulars are referred to in Electronic Health Record data? A case study in integrating Referent Tracking into an EHR application | 17.2 | 0 | 1 |
| Patient review of selected electronic health record data improves visit experience | 17.2 | 0 | 1 |
| Physicians value patient review of their electronic health record data as a means to improve accuracy of medication list documentation. | 17.2 | 0 | 1 |
| Early Detection of Heart Failure Using Electronic Health Records: Practical Implications for Time Before Diagnosis, Data Diversity, Data Quantity, and Data Density | 17.2 | 0 | 1 |
| Comparative adherence to diabetes drugs: An analysis of electronic health records and claims data | 17.2 | 0 | 1 |
| Leveraging Big Data and Electronic Health Records to Enhance Novel Approaches to Acute Kidney Injury Research and Care | 17.2 | 0 | 1 |
| Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications | 17.2 | 0 | 1 |