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
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author Krevat, Seth A.
Samuel, Sunil
Boxley, Christian
Mohan, Vishnu
Siegal, Dana
Gold, Jeffrey A.
Ratwani, Raj M.
author_facet Krevat, Seth A.
Samuel, Sunil
Boxley, Christian
Mohan, Vishnu
Siegal, Dana
Gold, Jeffrey A.
Ratwani, Raj M.
author_sort Krevat, Seth A.
collection PubMed
description 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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spelling pubmed-101053062023-04-16 Identifying Electronic Health Record Contributions to Diagnostic Error in Ambulatory Settings Through Legal Claims Analysis Krevat, Seth A. Samuel, Sunil Boxley, Christian Mohan, Vishnu Siegal, Dana Gold, Jeffrey A. Ratwani, Raj M. JAMA Netw Open Research Letter 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. American Medical Association 2023-04-14 /pmc/articles/PMC10105306/ /pubmed/37058308 http://dx.doi.org/10.1001/jamanetworkopen.2023.8399 Text en Copyright 2023 Krevat SA et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Research Letter
Krevat, Seth A.
Samuel, Sunil
Boxley, Christian
Mohan, Vishnu
Siegal, Dana
Gold, Jeffrey A.
Ratwani, Raj M.
Identifying Electronic Health Record Contributions to Diagnostic Error in Ambulatory Settings Through Legal Claims Analysis
title Identifying Electronic Health Record Contributions to Diagnostic Error in Ambulatory Settings Through Legal Claims Analysis
title_full Identifying Electronic Health Record Contributions to Diagnostic Error in Ambulatory Settings Through Legal Claims Analysis
title_fullStr Identifying Electronic Health Record Contributions to Diagnostic Error in Ambulatory Settings Through Legal Claims Analysis
title_full_unstemmed Identifying Electronic Health Record Contributions to Diagnostic Error in Ambulatory Settings Through Legal Claims Analysis
title_short Identifying Electronic Health Record Contributions to Diagnostic Error in Ambulatory Settings Through Legal Claims Analysis
title_sort identifying electronic health record contributions to diagnostic error in ambulatory settings through legal claims analysis
topic Research Letter
url 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
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