Why aren't they happy? An analysis of end-user satisfaction with Electronic health records.

Autor:	Unni P; University of Utah, School of Medicine, Salt Lake City, Utah., Staes C; University of Utah, School of Medicine, Salt Lake City, Utah., Weeks H; University of Utah, School of Medicine, Salt Lake City, Utah., Kramer H; University of Utah, School of Medicine, Salt Lake City, Utah., Borbolla D; University of Utah, School of Medicine, Salt Lake City, Utah., Slager S; University of Utah, School of Medicine, Salt Lake City, Utah., Taft T; University of Utah, School of Medicine, Salt Lake City, Utah., Chidambaram V; University of Utah, School of Medicine, Salt Lake City, Utah., Weir C; University of Utah, School of Medicine, Salt Lake City, Utah; SLC VA IDEAS Center of Innovation, Salt Lake City, Utah.
Jazyk:	angličtina
Zdroj:	AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2017 Feb 10; Vol. 2016, pp. 2026-2035. Date of Electronic Publication: 2017 Feb 10 (Print Publication: 2016).
Abstrakt:	Introduction . Implementations of electronic health records (EHR) have been met with mixed outcome reviews. Complaints about these systems have led to many attempts to have useful measures of end-user satisfaction. However, most user satisfaction assessments do not focus on high-level reasoning, despite the complaints of many physicians. Our study attempts to identify some of these determinants. Method . We developed a user satisfaction survey instrument, based on pre-identified and important clinical and non-clinical clinician tasks. We surveyed a sample of in-patient physicians and focused on using exploratory factor analyses to identify underlying high-level cognitive tasks. We used the results to create unique, orthogonal variables representative of latent structure predictive of user satisfaction. Results. Our findings identified 3 latent high-level tasks that were associated with end-user satisfaction: a) High- level clinical reasoning b) Communicate/coordinate care and c) Follow the rules/compliance. Conclusion : We were able to successfully identify latent variables associated with satisfaction. Identification of communicability and high-level clinical reasoning as important factors determining user satisfaction can lead to development and design of more usable electronic health records with higher user satisfaction.
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu