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

Seth A Krevat; Sunil Samuel; Christian Boxley; Vishnu Mohan; Dana Siegal; Jeffrey A Gold; Raj M Ratwani

doi:10.1001/jamanetworkopen.2023.8399

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

JAMA Netw Open. 2023 Apr 3;6(4):e238399. doi: 10.1001/jamanetworkopen.2023.8399.

Authors

Seth A Krevat¹, Sunil Samuel², Christian Boxley¹, Vishnu Mohan², Dana Siegal³, Jeffrey A Gold², Raj M Ratwani¹

Affiliations

¹ MedStar Health National Center for Human Factors in Healthcare, Washington, DC.
² Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland.
³ CRICO, Boston, Massachusetts.

No abstract available

Plain language summary

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.

Publication types

Research Support, U.S. Gov't, P.H.S.

MeSH terms

Ambulatory Care
Diagnostic Errors / prevention & control
Electronic Health Records*
Humans
Insurance Claim Review*

Plain language summary

Publication types

MeSH terms

Grants and funding