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Association of Data Integration Technologies With Intensive Care Clinician Performance
Author(s) -
Ying Lin,
Patricia Trbovich,
Lauren Kolodzey,
Cheri Nickel,
AnneMarie Guerguerian
Publication year - 2019
Publication title -
jama network open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.278
H-Index - 39
ISSN - 2574-3805
DOI - 10.1001/jamanetworkopen.2019.4392
Subject(s) - psycinfo , medline , intensive care , medicine , systematic review , health care , intensive care medicine , political science , law , economics , economic growth
Key Points Question Do data integration and visualization technologies alleviate clinicians’ cognitive workload and alter decision-making performance? Findings In this systematic review and meta-analysis of 20 studies, data integration and visualization technologies were associated with improvements in self-reported performance, mental and temporal demand, and effort compared with paper-based recording systems, but no specific type is superior to others. Only 10% of studies of data integration and visualization technology evaluated them in clinical settings. Meaning Data integration and visualization technologies offer promising features to improve decision making by clinicians in the intensive care setting, but standardized test protocols are needed to generate clinician-centered evaluations and accelerate screening of technologies that support data-driven decision making.

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