Experience with decision support system and comfort with topic predict clinicians’ responses to alerts and reminders | Zendy

Nerissa S. Bauer | Zendy; Aaron E. Carroll | Zendy; Chandan Saha | Zendy; Stephen M. Downs | Zendy

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Experience with decision support system and comfort with topic predict clinicians’ responses to alerts and reminders

Author(s) -

Nerissa S. Bauer,

Aaron E. Carroll,

Chandan Saha,

Stephen M. Downs

Publication year - 2015

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocv148

Subject(s) - clinical decision support system , medicine , decision support system , multilevel model , medical emergency , family medicine , computer science , data mining , machine learning

Clinicians at our institution typically respond to about half of the prompts they are given by the clinic's computer decision support system (CDSS). We sought to examine factors associated with clinician response to CDSS prompts as part of a larger, ongoing quality improvement effort to optimize CDSS use.

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