• Critical care clinics · Oct 2023

    Review

    The Role of Data Science in Closing the Implementation Gap.

    • Andrew J King and Jeremy M Kahn.
    • Department of Critical Care Medicine, University of Pittsburgh School of Medicine, 3500 Terrace Street, Suite 600, Pittsburgh, PA 15261, USA.
    • Crit Care Clin. 2023 Oct 1; 39 (4): 701716701-716.

    AbstractData science has the potential to greatly enhance efforts to translate evidence into practice in critical care. The intensive care unit is a data-rich environment enabling insight into both patient-level care patterns and clinician-level treatment patterns. By applying artificial intelligence to these novel data sources, implementation strategies can be tailored to individual patients, individual clinicians, and individual situations, revealing when evidence-based practices are missed and facilitating context-sensitive clinical decision support. To achieve these goals, technology developers should work closely with clinicians to create unbiased applications that are integrated into the clinical workflow.Copyright © 2023 Elsevier Inc. All rights reserved.

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