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difficult to identify which algorithm is most appropriate for reuse.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To develop a framework for assessing phenotyping algorithm fitness for purpose and reuse.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Fitness for Purpose<\/jats:title>\n                    <jats:p>Phenotyping algorithms are fit for purpose when they identify the intended population with performance characteristics appropriate for the intended application.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Fitness for Reuse<\/jats:title>\n                    <jats:p>Phenotyping algorithms are fit for reuse when the algorithm is implementable and generalizable\u2014that is, it identifies the same intended population with similar performance characteristics when applied to a new setting.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The PhenoFit framework provides a structured approach to evaluate and adapt phenotyping algorithms for new contexts increasing efficiency and consistency of identifying patient populations from EHRs.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/jamia\/ocaf195","type":"journal-article","created":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T17:19:10Z","timestamp":1762967950000},"page":"536-542","source":"Crossref","is-referenced-by-count":4,"title":["PhenoFit: a framework for determining computable phenotyping algorithm fitness for purpose and reuse"],"prefix":"10.1093","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6681-9754","authenticated-orcid":false,"given":"Laura K","family":"Wiley","sequence":"first","affiliation":[{"name":"Department of 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