The Role of Data Science in Closing the Implementation Gap.

Critical care clinics · Oct 2023

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The Role of Data Science in Closing the Implementation Gap.

Data 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.

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- 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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The Role of Data Science in Closing the Implementation Gap.

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