A process to deduplicate individuals for regional chronic disease prevalence estimates using a distributed data network of electronic health records

INTRODUCTION: Learning health systems can help estimate chronic disease prevalence through distributed data networks (DDNs). Concerns remain about bias introduced to DDN prevalence estimates when individuals seeking care across systems are counted multiple times. This paper describes a process to de...

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Detalles Bibliográficos
Autores principales: Scott, Kenneth A., Davies, Sara Deakyne, Zucker, Rachel, Ong, Toan, Kraus, Emily McCormick, Kahn, Michael G, Bondy, Jessica, Daley, Matt F., Horle, Kate, Bacon, Emily, Schilling, Lisa, Crume, Tessa, Hasnain‐Wynia, Romana, Foldy, Seth, Budney, Gregory, Davidson, Arthur J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284932/
https://www.ncbi.nlm.nih.gov/pubmed/35860322
http://dx.doi.org/10.1002/lrh2.10297

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284932/
https://www.ncbi.nlm.nih.gov/pubmed/35860322
http://dx.doi.org/10.1002/lrh2.10297

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