ArticleJournal of graduate medical education2016
Developing Teaching Strategies in the EHR Era: A Survey of GME Experts.
Article in Journal of graduate medical education, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- A Call to Support Informatics Curricula in U.S.-Based Residency Education.Applied clinical informatics · 2023Article
- Let EHRs Click in the Medical School Curriculum.Journal of general internal medicine · 2023Article
- Development and Validation of a Machine Learning Model for Automated Assessment of Resident Clinical Reasoning Documentation.Journal of general internal medicine · 2022Article
- Development of a Clinical Reasoning Documentation Assessment Tool for Resident and Fellow Admission Notes: a Shared Mental Model for Feedback.Journal of general internal medicine · 2022Article
- Navigating Through Electronic Health Records: Survey Study on Medical Students' Perspectives in General and With Regard to a Specific Training.JMIR medical informatics · 2019Article
- Documenting or Operating: Where Is Time Spent in General Surgery Residency?Journal of surgical education · 2018Article
- Open Notes in Teaching Clinics: A Multisite Survey of Residents to Identify Anticipated Attitudes and Guidance for Programs.Journal of graduate medical education · 2018Article
- Collaborating for Competency-A Model for Single Electronic Health Record Onboarding for Medical Students Rotating among Separate Health Systems.Applied clinical informatics · 2018Article
- A New EHR Training Curriculum and Assessment for Pediatric Residents.Applied clinical informatics · 2017Article
- "Real-Time" Clinical Reasoning via the EHR? The EHR and Its Role in Clinical Supervision.Journal of graduate medical education · 2017Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is limited information on the impact of widespread adoption of the electronic health record (EHR) on graduate medical education (GME).
objectiveTo identify areas of consensus by education experts, where the use of EHR impacts GME, with the goal of developing strategies and tools to enhance GME teaching and learning in the EHR environment.
methodsInformation was solicited from experienced US physician educators who use EPIC EHR following 3 steps: 2 rounds of online surveys using the Delphi technique, followed by telephone interviews. The survey contained 3 stem questions and 52 items with Likert-scale responses. Consensus was defined by predetermined cutoffs. A second survey reassessed items for which consensus was not initially achieved. Common themes to improve GME in settings with an EHR were compiled from the telephone interviews.
resultsThe panel included 19 physicians in 15 states in Round 1, 12 in Round 2, and 10 for the interviews. Ten items were found important for teaching and learning: balancing focus on EHR documentation with patient engagement achieved 100% consensus. Other items achieving consensus included adequate learning time, balancing EHR data with verbal history and physical examination, communicating clinical thought processes, hands-on EHR practice, minimizing data repetition, and development of shortcuts and templates. Teaching strategies incorporating both online software and face-to-face solutions were identified during the interviews.
conclusionsNew strategies are needed for effective teaching and learning of residents and fellows, capitalizing on the potential of the EHR, while minimizing any unintended negative impact on medical education.
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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.