A usability and safety analysis of electronic health records: a multi-center study.
A usability and safety analysis of electronic health records: a multi-center study.
- 2018
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.
English
1067-5027
10.1093/jamia/ocy088 [doi] 5047907 [pii]
*Medical Errors
*Medical Records Systems, Computerized
*Task Performance and Analysis
Diagnostic Imaging
Electronic Health Records
Humans
Medical Order Entry Systems
User-Computer Interface
MedStar Institute for Innovation
MedStar Washington Hospital Center
Emergency Medicine
Journal Article
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.
English
1067-5027
10.1093/jamia/ocy088 [doi] 5047907 [pii]
*Medical Errors
*Medical Records Systems, Computerized
*Task Performance and Analysis
Diagnostic Imaging
Electronic Health Records
Humans
Medical Order Entry Systems
User-Computer Interface
MedStar Institute for Innovation
MedStar Washington Hospital Center
Emergency Medicine
Journal Article