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

Reviews in Medical Informatics (107) Electronic Health Records (1282) Methods and Instruments in Medical Informatics (182) Data Science (349) Clinical Informatics (1272) Digital Science, Open Science (90) Digital Health Reporting Standards, Quality and Transparency in e-Research (126)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58130, first published .
Electronic Health Record Data Quality and Performance Assessments: Scoping Review

Electronic Health Record Data Quality and Performance Assessments: Scoping Review

Electronic Health Record Data Quality and Performance Assessments: Scoping Review

Authors of this article:

Yordan P Penev1, 2 Author Orcid Image ;   Timothy R Buchanan1, 2 Author Orcid Image ;   Matthew M Ruppert1, 2, 3 Author Orcid Image ;   Michelle Liu1 Author Orcid Image ;   Ramin Shekouhi1 Author Orcid Image ;   Ziyuan Guan1, 2 Author Orcid Image ;   Jeremy Balch4 Author Orcid Image ;   Tezcan Ozrazgat-Baslanti1, 2 Author Orcid Image ;   Benjamin Shickel1, 2 Author Orcid Image ;   Tyler J Loftus2, 4 Author Orcid Image ;   Azra Bihorac2, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Țocu G, Lisă E, Tutunaru D, Mihailov R, Șerban C, Luțenco V, Dimofte F, Guliciuc M, Chiscop I, Ștefănescu B, Niculeț E, Gurău G, Berbece S, Mihailov O, Stavăr Matei L. The Potential of Artificial Intelligence in the Diagnosis and Prognosis of Sepsis: A Narrative Review. Diagnostics 2025;15(17):2169 View