Evaluation of real-world referential and probabilistic patient matching to advance patient identification strategy

OBJECTIVE: This study sought both to support evidence-based patient identity policy development by illustrating an approach for formally evaluating operational matching methods, and also to characterize the performance of both referential and probabilistic patient matching algorithms using real-worl...

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Detalles Bibliográficos
Autores principales: Grannis, Shaun J, Williams, Jennifer L, Kasthuri, Suranga, Murray, Molly, Xu, Huiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277641/
https://www.ncbi.nlm.nih.gov/pubmed/35568993
http://dx.doi.org/10.1093/jamia/ocac068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277641/
https://www.ncbi.nlm.nih.gov/pubmed/35568993
http://dx.doi.org/10.1093/jamia/ocac068

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