Electronic Health Record Optimization for Artificial Intelligence.
Artificial intelligence
Clinical decision support
Clinical laboratory
Electronic health record
Journal
Clinics in laboratory medicine
ISSN: 1557-9832
Titre abrégé: Clin Lab Med
Pays: United States
ID NLM: 8100174
Informations de publication
Date de publication:
03 2023
03 2023
Historique:
entrez:
10
2
2023
pubmed:
11
2
2023
medline:
15
2
2023
Statut:
ppublish
Résumé
Laboratory clinical decision support (CDS) typically relies on data from the electronic health record (EHR). The implementation of a sustainable, effective laboratory CDS program requires a commitment to standardization and harmonization of key EHR data elements that are the foundation of laboratory CDS. The direct use of artificial intelligence algorithms in CDS programs will be limited unless key elements of the EHR are structured. The identification, curation, maintenance, and preprocessing steps necessary to implement robust laboratory-based algorithms must account for the heterogeneity of data present in a typical EHR.
Identifiants
pubmed: 36764806
pii: S0272-2712(22)00061-0
doi: 10.1016/j.cll.2022.09.003
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
17-28Informations de copyright
Copyright © 2022 Elsevier Inc. All rights reserved.