02903nam a22004817a 4500
190521s20202020 xxu||||| |||| 00| 0 eng d
1460-4582
10.1177/1460458219839623 [doi]
Ovid MEDLINE(R)
31081460
Informatics and interaction: Applying human factors principles to optimize the design of clinical decision support for sepsis.
Health Informatics Journal. 26(1):642-651, 2020 03.
HEALTH INFORM J. 26(1):642-651, 2020 03.
HEALTH INFORM J. :1460458219839623, 2019 May 13
Health informatics journal
2020
FY2020
aheadofprint
ppublish
2019-05-21
Health Informatics Journal. :1460458219839623, 2019 May 13
In caring for patients with sepsis, the current structure of electronic health record systems allows clinical providers access to raw patient data without imputation of its significance. There are a wide range of sepsis alerts in clinical care that act as clinical decision support tools to assist in early recognition of sepsis; however, there are serious shortcomings in existing health information technology for alerting providers in a meaningful way. Little work has been done to evaluate and assess existing alerts using implementation and process outcomes associated with health information technology displays, specifically evaluating clinician preference and performance. We developed graphical model displays of two popular sepsis scoring systems, quick Sepsis Related Organ Failure Assessment and Predisposition, Infection, Response, Organ Failure, using human factors principles grounded in user-centered and interaction design. Models will be evaluated in a larger research effort to optimize alert design to improve the collective awareness of high-risk populations and develop a relevant point-of-care clinical decision support system for sepsis.
English
*Decision Support Systems, Clinical
*Sepsis
Humans
Sepsis/di [Diagnosis]
Sepsis/th [Therapy]
MedStar Health Research Institute
MedStar Institute for Innovation
National Center for Human Factors in Healthcare
Journal Article
Blumenthal, Joseph
Franklin, Ella
Kowalski, Rebecca
Littlejohn, Robin
Miller, Kristen
Mosby, Danielle L
Schubel, Laura
Arnold R, Blumenthal J, Capan M, Catchpole K, Franklin E, Kowalski R, Littlejohn R, Miller KE, Mosby DL, Schubel L, Schwartz JS, Seagull FJ
https://dx.doi.org/10.1177/1460458219839623
https://dx.doi.org/10.1177/1460458219839623
ART
Article
0
0
0
0
Article
authcat
authcat
2019-05-21
0
31081460
31081460
2019-05-21
2019-05-21
ART
4190
4190