We're Lost, But We are Making Good Time: Navigating Complex Pathways in a Patient-Order Management Task.

Autor:	Duncan BJ; College of Health Solutions, Arizona State University, AZ, US., Kassis AN; College of Health Solutions, Arizona State University, AZ, US., Kaufman DR; Senior author.; Medical Informatics, SUNY Downstate Health Sciences University, Brooklyn, NY., Grando A; College of Health Solutions, Arizona State University, AZ, US., Poterack KA; Kern Center Informatics and Knowledge Management, Mayo Clinic, Rochester, MN, US.; Department of Anesthesiology, Mayo Clinic, AZ, US., Helmers RA; Kern Center Informatics and Knowledge Management, Mayo Clinic, Rochester, MN, US., Miksch TK; Kern Center Informatics and Knowledge Management, Mayo Clinic, Rochester, MN, US., Zheng L; College of Health Solutions, Arizona State University, AZ, US., Doebbeling BN; College of Health Solutions, Arizona State University, AZ, US.; School for the Science of Healthcare Delivery, Arizona State University, AZ, US.
Jazyk:	angličtina
Zdroj:	AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2021 Jan 25; Vol. 2020, pp. 402-411. Date of Electronic Publication: 2021 Jan 25 (Print Publication: 2020).
Abstrakt:	Patient order management (POM) is a mission-critical task for perioperative workflow. Interface complexity within different EHR systems result in poor usability, increasing documentation burden. POM interfaces were compared across two systems prior to (Cerner SurgiNet) and subsequent to an EHR conversion (Epic). Here we employ a navigational complexity framework useful for examining differences in EHR interface systems. The methodological approach includes 1) expert-based methods-specifically, functional analysis, keystroke level model (KLM) and cognitive walkthrough, and 2) quantitative analysis of observed interactive user behaviors. We found differences in relation to navigational complexity with the SurgiNet interface displaying a higher number of unused POM functions, with 12 in total whereas Epic displayed 7 total functions. As reflected in all measures, Epic facilitated a more streamlined task-focused user experience. The approach enabled us to scrutinize the impact of different EHR interfaces on task performance and usability barriers subsequent to system implementation. (©2020 AMIA - All rights reserved.)
Databáze:	MEDLINE
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