ArticleAnnals of family medicine2017
Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations.
Article in Annals of family medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07742761 (Emergency Medicine Practitioners Overall Well-being Enhancement With Ambient AI Scribes), which is not on this map. Cited by 442 papers, 6 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Emergency Medicine Practitioners Overall Well-being Enhancement With Ambient AI Scribes
Who cites it
442 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Application of artificial intelligence tools and clinical documentation burden: a systematic review and meta-analysis.BMC medical informatics and decision making · 2025Pooled it
- Educational Interventions to Develop and Enhance Clinical Documentation Skills in Health Professional Students: A Systematic Review.The clinical teacher · 2025Pooled it
- Impact of artificial intelligence on electronic health record-related burnouts among healthcare professionals: systematic review.Frontiers in public health · 2025Pooled it
- Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024Pooled it
- Improving Clinical Documentation with Artificial Intelligence: A Systematic Review.Perspectives in health information management · 2024Pooled it
- Experience of Health Care Professionals Using Digital Tools in the Hospital: Qualitative Systematic Review.JMIR human factors · 2023Pooled it
- AI-Generated Draft Replies Integrated Into Health Records and Physicians' Electronic Communication.JAMA network open · 2024Trial
- Economic Impact of a Deep Learning Algorithm for Automated Head and Neck Surgery Referral Triage.The Laryngoscope · 2026Article
- From compliance to competence: a multi-level model for AI governance in undergraduate medical education.NPJ digital medicine · 2026Article
- Ambient artificial intelligence scribes in urology: a pilot evaluation of user experience and clinical efficiency gains.World journal of urology · 2026Article
- "Most of what I do is a workaround now": Clinician Use of Workarounds Following an EHR Transition.Journal of general internal medicine · 2026Article
- Billing E-Visits and Patient Medical Advice Requests in a Large Academic Health Center.JAMA network open · 2026Article
- Sentence-Level Provenance for AI Medical Record Summarization in a Click-to-Inspect Interface: Formative Usability Evaluation.JMIR human factors · 2026Article
- Bridging primary care with artificial intelligence: toward a global 1.5-Tier Healthcare System.npj health systems · 2026Review
- Electronic Health Record Burden Among Gastroenterology Providers in a Large Tri-state Tertiary Referral Center.Digestive diseases and sciences · 2026Article
- An Evaluation of AI-Generated Clinical Notes in the OpenNotes Era: A Thematic Analysis of Clinician Discourse.Journal of evaluation in clinical practice · 2026Article
- Evaluating the impact of artificial intelligence scribes on clinical documentation in primary care: a simulation study.JAMIA open · 2026Article
- Quantifying and Visualizing Emergency Physician Workflow: Observational Time-Motion Study.JMIR medical informatics · 2026Observational
- Evaluation of an AI Medical Scribe After 236,153 Notes Generated Across Care Levels in a European Health System: Mixed Methods Retrospective Observational Study.JMIR medical informatics · 2026Observational
- Implementation outcomes of AI documentation support in routine clinical practice: A non-randomized controlled trial.PLOS digital health · 2026Article
382 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposePrimary care physicians spend nearly 2 hours on electronic health record (EHR) tasks per hour of direct patient care. Demand for non-face-to-face care, such as communication through a patient portal and administrative tasks, is increasing and contributing to burnout. The goal of this study was to assess time allocated by primary care physicians within the EHR as indicated by EHR user-event log data, both during clinic hours (defined as 8:00 am to 6:00 pm Monday through Friday) and outside clinic hours.
methodsWe conducted a retrospective cohort study of 142 family medicine physicians in a single system in southern Wisconsin. All Epic (Epic Systems Corporation) EHR interactions were captured from "event logging" records over a 3-year period for both direct patient care and non-face-to-face activities, and were validated by direct observation. EHR events were assigned to 1 of 15 EHR task categories and allocated to either during or after clinic hours.
resultsClinicians spent 355 minutes (5.9 hours) of an 11.4-hour workday in the EHR per weekday per 1.0 clinical full-time equivalent: 269 minutes (4.5 hours) during clinic hours and 86 minutes (1.4 hours) after clinic hours. Clerical and administrative tasks including documentation, order entry, billing and coding, and system security accounted for nearly one-half of the total EHR time (157 minutes, 44.2%). Inbox management accounted for another 85 minutes (23.7%).
conclusionsPrimary care physicians spend more than one-half of their workday, nearly 6 hours, interacting with the EHR during and after clinic hours. EHR event logs can identify areas of EHR-related work that could be delegated, thus reducing workload, improving professional satisfaction, and decreasing burnout. Direct time-motion observations validated EHR-event log data as a reliable source of information regarding clinician time allocation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.