Objective: To determine whether the integration of an automated electronic clinical portfolio into clinical clerkships can improve the quality of feedback given to students on their patient write-ups and the quality of students' write-ups.
Design: The authors conducted a single-blinded, randomized controlled study of an electronic clinical portfolio that automatically collects all students' clinical notes and notifies their teachers (attending and resident physicians) via e-mail. Third-year medical students were randomized to use the electronic portfolio or traditional paper means. Teachers in the portfolio group provided feedback directly on the student's write-up using a web-based application. Teachers in the control group provided feedback directly on the student's write-up by writing in the margins of the paper. Outcomes were teacher and student assessment of the frequency and quality of feedback on write-ups, expert assessment of the quality of student write-ups at the end of the clerkship, and participant assessment of the value of the electronic portfolio system.
Results: Teachers reported giving more frequent and detailed feedback using the portfolio system (p = 0.01). Seventy percent of students who used the portfolio system, versus 39% of students in the control group (p = 0.001), reported receiving feedback on more than half of their write-ups. Write-ups of portfolio students were rated of similar quality to write-ups of control students. Teachers and students agreed that the system was a valuable teaching tool and easy to use.
Conclusions: An electronic clinical portfolio that automatically collects students' clinical notes is associated with improved teacher feedback on write-ups and similar quality of write-ups.
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http://dx.doi.org/10.1007/s11606-008-0608-y | DOI Listing |
JMIR Res Protoc
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Department of Women's and Children's Health, Participatory eHealth and Health Data Research Group, Uppsala University, Uppsala, Sweden.
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View Article and Find Full Text PDFAcad Med
December 2024
R.H. Kon is associate professor of medicine, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia; ORCID: https://orcid.org/0000-0002-3326-5203.
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View Article and Find Full Text PDFJAMA Netw Open
January 2025
National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Importance: Digital health in biomedical research and its expanding list of potential clinical applications are rapidly evolving. A combination of new digital health technologies (DHTs), novel uses of existing DHTs through artificial intelligence- and machine learning-based algorithms, and improved integration and analysis of data from multiple sources has enabled broader use and delivery of these tools for research and health care purposes. The aim of this study was to assess the growth and overall trajectory of DHT funding through a National Institutes of Health (NIH)-wide grant portfolio analysis.
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