• Critical care clinics · Jan 2022

    Review

    Enhancing Diagnosis Through Technology: Decision Support, Artificial Intelligence, and Beyond.

    • Robert El-Kareh and Dean F Sittig.
    • University of California, San Diego, 9500 Gilman Drive, #0881 La Jolla, CA 92093-0881, USA. Electronic address: relkareh@health.ucsd.edu.
    • Crit Care Clin. 2022 Jan 1; 38 (1): 129139129-139.

    AbstractPatient care in intensive care environments is complex, time-sensitive, and data-rich, factors that make these settings particularly well-suited to clinical decision support (CDS). A wide range of CDS interventions have been used in intensive care unit environments. The field needs well-designed studies to identify the most effective CDS approaches. Evolving artificial intelligence and machine learning models may reduce information-overload and enable teams to take better advantage of the large volume of patient data available to them. It is vital to effectively integrate new CDS into clinical workflows and to align closely with the cognitive processes of frontline clinicians.Copyright © 2021 Elsevier Inc. All rights reserved.

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