Assessing EHR Data for Use in Clinical Improvement and Research.
Journal
The American journal of nursing
ISSN: 1538-7488
Titre abrégé: Am J Nurs
Pays: United States
ID NLM: 0372646
Informations de publication
Date de publication:
01 06 2022
01 06 2022
Historique:
pubmed:
14
5
2022
medline:
31
5
2022
entrez:
13
5
2022
Statut:
ppublish
Résumé
Data from electronic health records (EHRs) are becoming accessible for use in clinical improvement projects and nursing research. But the data quality may not meet clinicians' and researchers' needs. EHR data, which are primarily collected to document clinical care, invariably contain errors and omissions. This article introduces nurses to the secondary analysis of EHR data, first outlining the steps in data acquisition and then describing a theory-based process for evaluating data quality and cleaning the data. This process involves methodically examining the data using six data quality dimensions-completeness, correctness, concordance, plausibility, currency, and relevance-and helps the clinician or researcher to determine whether data for each variable are fit for use. Two case studies offer examples of problems that can arise and their solutions.
Identifiants
pubmed: 35551125
doi: 10.1097/01.NAJ.0000832728.09164.3f
pii: 00000446-202206000-00022
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
32-41Informations de copyright
Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.
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