The impact of transitioning from availability of outside records within electronic health records to integration of local and outside records within electronic health records.


Journal

Journal of the American Medical Informatics Association : JAMIA
ISSN: 1527-974X
Titre abrégé: J Am Med Inform Assoc
Pays: England
ID NLM: 9430800

Informations de publication

Date de publication:
01 04 2020
Historique:
received: 05 11 2019
revised: 12 12 2019
accepted: 13 01 2020
pubmed: 7 3 2020
medline: 13 3 2021
entrez: 6 3 2020
Statut: ppublish

Résumé

While there has been a substantial increase in health information exchange, levels of outside records use by frontline providers are low. We assessed whether integration between outside data and local data results in increased viewing of outside records, overall and by encounter, provider, and patient type. Using data from UCSF Health, we measured change in outside record views after integrating the list of local (UCSF) and outside (other health systems on Epic [Epic Systems, Verona, WI]) encounters on the Chart Review tab. Previously, providers only viewed records from outside encounters on a separate tab. We used an interrupted time series design (with outside record viewing event counts aggregated to the week level) to measure changes in the level and trend over a 1-year period. There was a large increase in the level of outside record views of 22 920 per week (P < .001). The change in trend went from a weekly increase of 116 (P < .05) to a decrease of 402 (P = .08), reflecting a small effect decay. There were increases in the level of views for all provider and encounter types: attendings (n = 3675), residents (n = 3277), and nurses (n = 914); and inpatient (n = 1676), emergency (n = 487), and outpatient (n = 7228) (P < .001 for all). Results persisted when adjusted for total encounter volume. While outside records were readily available before the encounter integration, the simple step of clicking on a separate tab appears to have depressed use. User interface designs that comingle local and outside data result in higher levels of viewing and should be more broadly pursued.

Identifiants

pubmed: 32134449
pii: 5782094
doi: 10.1093/jamia/ocaa006
pmc: PMC7647298
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

606-612

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

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Auteurs

Julia Adler-Milstein (J)

Center for Clinical Informatics and Improvement Research, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.

Michael D Wang (MD)

Center for Clinical Informatics and Improvement Research, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.

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