Electronic clinical decision support: Evidence that default settings influence end-user behavior

Transfusion. 2021 Mar;61(3):669-670. doi: 10.1111/trf.16269. Epub 2021 Jan 12.

Authors

Ryan A Metcalf^{1

2}, Jason Goodfellow², Kelly Cail², Robert Blaylock^{1

2}, Kensaku Kawamoto³, Toby Enniss⁴, Charles Galaviz⁵, Ming Lim⁶, Santosh Reddy⁶, Vikas Sharma⁴, Nathan Wanner⁶

Affiliations

¹ Department of Pathology, University of Utah, Salt Lake City, Utah, USA.
² ARUP Laboratories, Salt Lake City, Utah, USA.
³ Department of Medical Informatics, University of Utah, Salt Lake City, Utah, USA.
⁴ Department of Surgery, University of Utah, Salt Lake City, Utah, USA.
⁵ Department of Anesthesiology, University of Utah, Salt Lake City, Utah, USA.
⁶ Department of Medicine, University of Utah, Salt Lake City, Utah, USA.

PMID: 33438332
DOI: 10.1111/trf.16269

No abstract available

MeSH terms

Decision Support Systems, Clinical*
Electronic Health Records
Erythrocyte Transfusion* / psychology
Erythrocyte Transfusion* / statistics & numerical data
Humans
Patients
User-Computer Interface*