Journal article
A usability and safety analysis of electronic health records: a multi-center study
Journal of the American Medical Informatics Association : JAMIA, v 25(9), pp 1197-1201
01 Sep 2018
PMID: 29982549
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
To characterize the variability in usability and safety of EHRs from two vendors across four healthcare systems (2 Epic and 2 Cerner). Twelve to 15 emergency medicine physicians participated from each site and completed six clinical scenarios. Keystroke, mouse click, and video data were collected. From the six scenarios, two diagnostic imaging, laboratory, and medication tasks were analyzed. There was wide variability in task completion time, clicks, and error rates. For certain tasks, there were an average of a nine-fold difference in time and eight-fold difference in clicks. Error rates varied by task (X-ray 16.7% to 25%, MRI: 0 to 10%, Lactate: 0% to 14.3%, Tylenol: 0 to 30%; Taper: 16.7% to 50%). The variability in time, clicks, and error rates highlights the need for improved implementation optimization. EHR implementation, in addition to vendor design and development, is critical to usable and safe products.
Metrics
Details
- Title
- A usability and safety analysis of electronic health records: a multi-center study
- Creators
- Raj M Ratwani - Georgetown UniversityErica Savage - MedStar HealthAmy Will - MedStar HealthRyan Arnold - Drexel UniversitySaif Khairat - University of North Carolina at Chapel HillKristen Miller - MedStar HealthRollin J Fairbanks - Georgetown UniversityMichael Hodgkins - American Medical AssociationA Zachary Hettinger - Georgetown University
- Publication Details
- Journal of the American Medical Informatics Association : JAMIA, v 25(9), pp 1197-1201
- Publisher
- Oxford University Press
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Physical Therapy (and Rehabilitation Sciences)
- Web of Science ID
- WOS:000443542400012
- Scopus ID
- 2-s2.0-85055007161
- Other Identifier
- 991019168585804721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Health Care Sciences & Services
- Information Science & Library Science
- Medical Informatics