Identifying Electronic Health Record Contributions to Diagnostic Error in Ambulatory Settings Through Legal Claims Analysis

This qualitative study analyzes closed legal claims data to determine whether problems with electronic health records are associated with diagnostic errors, in which part of the diagnostic process errors occur, and the specific types of errors that occur.

Detalles Bibliográficos
Autores principales: Krevat, Seth A., Samuel, Sunil, Boxley, Christian, Mohan, Vishnu, Siegal, Dana, Gold, Jeffrey A., Ratwani, Raj M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Research Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105306/
https://www.ncbi.nlm.nih.gov/pubmed/37058308
http://dx.doi.org/10.1001/jamanetworkopen.2023.8399
Descripción
Sumario:This qualitative study analyzes closed legal claims data to determine whether problems with electronic health records are associated with diagnostic errors, in which part of the diagnostic process errors occur, and the specific types of errors that occur.

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