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Physician Clinical Performance Assessment: Prospects and Barriers
Abstract
The performance of physicians in their day-to-day clinical practices has become an area of intense public interest. Both patients and health care purchasers want more effective means of identifying excellent clinicians, and a variety of organizations are discussing and implementing plans for assessing the performance of individual clinicians. In this article, we review the current state of physician clinical performance assessment with a focus on its usefulness for competency assessment. We describe recommendations for a physician clinical performance assessment system for these purposes, and identify ways in which current methods of performance assessment fall short of these. We conclude that important technical barriers stand in the way of using physician clinical performance assessment for evaluating the competency of individual physicians. Overcoming these barriers will require considerable additional research and development. Even then, for some uses, physician clinical performance assessment at the individual physician level may be technically impossible to accomplish in a valid and fair way.
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Donabedian, A. (1988) · JAMA · doi:10.1001/jama.260.12.1743 · Cited by 5,895
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Metadata
- Authors
- Landon, B. E., Normand, S.-L. T., Blumenthal, D., & Daley, J.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2003-09-03
- Volume
- 290
- Issue
- 9
- Pages
- 1183
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2042110466
- Cited by
- 239
- References
- 1
- FWCI
- 40.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- Landon, B. E., Normand, S.-L. T., Blumenthal, D., & Daley, J. (2003). Physician Clinical Performance Assessment: Prospects and Barriers. JAMA. https://doi.org/10.1001/jama.290.9.1183
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.