Making Use of Natural Language Processing to Better Understand Medical Students’ Self-Assessment of Clinical Skills

1L. Turner is assistant dean for evaluation and assessment and assistant professor, Department of Medical Education, University of Cincinnati College of Medicine, Cincinnati, Ohio; ORCID: https://orcid.org/0000-0002-4567-1313.

2D.E. Weber is assistant professor of internal medicine and pediatrics, Departments of Pediatrics and Internal Medicine, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio; ORCID: https://orcid.org/0000-0002-4857-6936.

3S.A. Santen is senior associate dean, Office of Assessment, Evaluation, and Scholarship, and professor of emergency medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia, and professor of emergency medicine and medical education, University of Cincinnati College of Medicine, Cincinnati, Ohio; ORCID: https://orcid.org/0000-0002-8327-8002.

4A.L. Olex is senior scientist, Virginia Commonwealth University, Wright Center for Clinical and Translational Research, Richmond, Virginia; ORCID: https://orcid.org/0000-0001-8064-521X.

5P. Baker is associate dean for medical education, University of Cincinnati College of Medicine, Cincinnati, Ohio.

6S. Overla is a senior business data reporting analyst, Office of Medical Education, University of Cincinnati, Cincinnati, Ohio.

7D. Shu is a fourth-year medical student, University of Cincinnati College of Medicine, Cincinnati, Ohio; ORCID: https://orcid.org/0000-0002-0737-0392.

8M. Kelleher is associate professor of internal medicine and pediatrics, Department of Pediatrics and Internal Medicine, Cincinnati Children’s Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, Ohio; ORCID: https://orcid.org/0000-0002-6400-1745.

Correspondence should be addressed to Laurah Turner, 231 Albert Sabin Way, ML 0555, Cincinnati, OH 45267; telephone: (513) 558-4450; email: [email protected].

Supplemental digital content for this article is available at https://links.lww.com/ACADMED/B484.

Acknowledgments: None.

Funding and Support: Work performed by A.L. Olex was supported by Clinical and Translational Science Award no. UL1TR002649 from the National Center for Advancing Translational Sciences. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Center for Advancing Translational Sciences or the National Institutes of Health.

Other disclosures: The University of Cincinnati College of Medicine receives funding for S.A. Santen as a consultant (for her work outside of this study) from the American Medical Association and also funding for M. Kelleher as a consultant from the National Board of Medical Examiners.

Ethical approval: The data collection and analysis of this program evaluation were deemed not human subjects by the Institutional Review Board (1/19/2023, MOD01_2021-1032).

Previous presentations: Part of this work was presented as a poster at the Association of American Medical Colleges annual Learn Serve Lead Conference, Nashville, Tennessee, November 11–15, 2022.

Data: All data were obtained internally.

Comments (0)

No login
gif