Considerations when evaluating real‐world data quality in the context of fitness for purpose
Sign Up to like & getrecommendations! Published in 2020 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.5010
Abstract: With the growing use of large real-world clinical datasets comes increased scrutiny about the quality of real-world data (RWD). The question of whether the data are good enough for decision-making is often raised. It is… read more here.
Keywords: quality; research; real world; fitness purpose ... See more keywords
PhenoFit: a framework for determining computable phenotyping algorithm fitness for purpose and reuse.
Sign Up to like & getrecommendations! Published in 2025 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocaf195
Abstract: BACKGROUND Computational phenotyping from electronic health records (EHRs) is essential for clinical research, decision support, and quality/population health assessment, but the proliferation of algorithms for the same conditions makes it difficult to identify which algorithm… read more here.
Keywords: fitness; framework; reuse; fitness purpose ... See more keywords