Work

Best practices for preventing malfunctions in rule-based clinical decision support alerts and reminders: Results of a Delphi study

Year: 2018

Type: article

Source: International Journal of Medical Informatics

DOI: 10.1016/j.ijmedinf.2018.08.001

Authors: Adam Wright, Joan S. Ash, Skye Aaron, Angela Ai, Thu-Trang T. Hickman, Jane F. Wiesen, William Galanter, Allison B. McCoy, Richard Schreiber, Christopher A. Longhurst, Dean F. Sittig

Institutions: Brigham and Women's Hospital, Harvard University, Oregon Health & Science University, University of Wisconsin–Madison, University of Illinois Chicago, Tulane University, Geisinger Health System, University of California San Diego, The University of Texas Health Science Center at Houston

Language: English

Topic: Electronic Health Records Systems

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: U.S. National Library of Medicine

Award: Improving clinical decision support reliability using anomaly detection methods

OpenAlex ID: W2886664896

FWCI: 3.786

Cites: 55

Cited by: 32

Related to: 10