This paper is in the following e-collection/theme issue:

Ontologies, Classifications, and Coding (226) Clinical Informatics (918) Electronic Health Records (971) Advanced Data Analytics in eHealth (112) Research Instruments, Questionnaires, and Tools (545) Clinical Information and Decision Making (1339) Secondary Use of Clinical Data for Research and Surveillance (325) Decision Support for Health Professionals (1145)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51274, first published .
Evaluation of SNOMED CT Grouper Accuracy and Coverage in Organizing the Electronic Health Record Problem List by Clinical System: Observational Study

Evaluation of SNOMED CT Grouper Accuracy and Coverage in Organizing the Electronic Health Record Problem List by Clinical System: Observational Study

Evaluation of SNOMED CT Grouper Accuracy and Coverage in Organizing the Electronic Health Record Problem List by Clinical System: Observational Study

Authors of this article:

Rashaud Senior1 Author Orcid Image ;   Timothy Tsai2 Author Orcid Image ;   William Ratliff3 Author Orcid Image ;   Lisa Nadler1 Author Orcid Image ;   Suresh Balu3 Author Orcid Image ;   Elizabeth Malcolm4 Author Orcid Image ;   Eugenia McPeek Hinz1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Rashaud Senior   1 , MMCi, MD ;   Timothy Tsai   2 , MMCi, DO ;   William Ratliff   3 , MBA ;   Lisa Nadler   1 , MD ;   Suresh Balu   3 , MS, MBA ;   Elizabeth Malcolm   4 , MSHS, MD ;   Eugenia McPeek Hinz   1 , MS, MD

1 Duke University Health System, Durham, NC, United States

2 Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States

3 Duke Institute for Health Innovation, Durham, NC, United States

4 Division of General Internal Medicine, Duke University School of Medicine, Durham, NC, United States

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