“A catalyst for action”: Factors for implementing clinical risk prediction models of infection in home care settings | Zendy

Dawn Dowding | Zendy; David Russell | Zendy; Margaret McDonald | Zendy; Marygrace Trifilio | Zendy; Jiyoun Song | Zendy; Carlin Brickner | Zendy; Jingjing Shang | Zendy

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“A catalyst for action”: Factors for implementing clinical risk prediction models of infection in home care settings

Author(s) -

Dawn Dowding,

David Russell,

Margaret McDonald,

Marygrace Trifilio,

Jiyoun Song,

Carlin Brickner,

Jingjing Shang

Publication year - 2020

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/ocaa267

Subject(s) - operationalization , psychological intervention , nursing , workflow , predictive modelling , thematic analysis , medicine , context (archaeology) , intervention (counseling) , qualitative research , computer science , machine learning , paleontology , social science , philosophy , epistemology , database , sociology , biology

The study sought to outline how a clinical risk prediction model for identifying patients at risk of infection is perceived by home care nurses, and to inform how the output of the model could be integrated into a clinical workflow.

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