PhenoFit: A framework for determining computable phenotyping algorithm fitness for purpose and reuse
Journal
Journal of the American Medical Informatics Association
Publication Date
2-1-2026
Volume
33
Issue
2
First Page
536
Last Page
542
Document Type
Open Access Publication
DOI
10.1093/jamia/ocaf195
Rights and Permissions
Laura K Wiley, Luke V Rasmussen, Rebecca T Levinson, Jennnifer Malinowski, Sheila M Manemann, Melissa P Wilson, Martin Chapman, Jennifer A Pacheco, Theresa L Walunas, Justin B Starren, Suzette J Bielinski, Rachel L Richesson, PhenoFit: a framework for determining computable phenotyping algorithm fitness for purpose and reuse, Journal of the American Medical Informatics Association, Volume 33, Issue 2, February 2026, Pages 536–542, https://doi.org/10.1093/jamia/ocaf195. https://academic.oup.com/jamia/article/33/2/536/8321897?login=true. © The Author(s) 2025. Published by Oxford University Press on behalf of the American Medical Informatics Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Recommended Citation
Wiley, Laura K; Rasmussen, Luke V; Levinson, Rebecca T; Malinowski, Jennnifer; Manemann, Sheila M; Wilson, Melissa P; Chapman, Martin; Pacheco, Jennifer A; Walunas, Theresa L; Starren, Justin B; Bielinski, Suzette J; and Richesson, Rachel L, "PhenoFit: A framework for determining computable phenotyping algorithm fitness for purpose and reuse." Journal of the American Medical Informatics Association. 33, 2. 536 - 542. (2026).
https://digitalcommons.wustl.edu/oa_4/6231
