Relationship between electronic health records strategy and user satisfaction: a longitudinal study using clinicians' online reviews.
Glassdoor
clinician burnout
electronic health records (EHRs)
online reviews
user satisfaction
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:
16 08 2022
16 08 2022
Historique:
received:
12
11
2021
revised:
03
05
2022
accepted:
13
05
2022
pubmed:
1
6
2022
medline:
19
8
2022
entrez:
31
5
2022
Statut:
ppublish
Résumé
We investigated how the electronic health records (EHRs) strategies concerning EHR sourcing and vendor switching impact user satisfaction over time. This study used a novel longitudinal dataset created by scraping clinicians' Glassdoor.com reviews on 109 US health systems from 2012 to 2017 and combining it with the Healthcare Information and Management Systems Society (HIMSS) database. We performed sentiment analysis of clinician reviews to construct our main dependent variable, user satisfaction. Our main independent variables, EHR single sourcing and vendor switching, were constructed using the HIMSS database. Our fixed effects model showed that as health systems gain more experience with EHR, a single vendor sourcing strategy was associated with higher user satisfaction. Further, there was no significant impact of vendor switching on user satisfaction. This work adds to the current understanding of EHR-driven clinician burnout using a novel longitudinal dataset. We show how organizational-level EHR strategy can impact user satisfaction and that providers and EHR vendors can mine clinician reviews online to understand their evolving needs and sentiments.
Identifiants
pubmed: 35640010
pii: 6594318
doi: 10.1093/jamia/ocac082
pmc: PMC9382381
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1577-1583Informations de copyright
© The Author(s) 2022. 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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