Clinician Trust in Artificial Intelligence: What is Known and

Critical care clinics · Oct 2023

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Clinician Trust in Artificial Intelligence: What is Known and How Trust Can Be Facilitated.

Predictive analytics based on artificial intelligence (AI) offer clinicians the opportunity to leverage big data available in electronic health records (EHR) to improve clinical decision-making, and thus patient outcomes. Despite this, many barriers exist to facilitating trust between clinicians and AI-based tools, limiting its current impact. Potential solutions are available at both the local and national level. It will take a broad and diverse coalition of stakeholders, from health-care systems, EHR vendors, and clinical educators to regulators, researchers and the patient community, to help facilitate this trust so that the promise of AI in health care can be realized.

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- Juan C Rojas, Mario Teran, and Craig A Umscheid.
- Department of Internal Medicine, Rush University, 1725 West Harrison Street, Suite 010, Chicago, IL 60612, USA. Electronic address: juan_rojas@rush.edu.
- Crit Care Clin. 2023 Oct 1; 39 (4): 769782769-782.
AbstractPredictive analytics based on artificial intelligence (AI) offer clinicians the opportunity to leverage big data available in electronic health records (EHR) to improve clinical decision-making, and thus patient outcomes. Despite this, many barriers exist to facilitating trust between clinicians and AI-based tools, limiting its current impact. Potential solutions are available at both the local and national level. It will take a broad and diverse coalition of stakeholders, from health-care systems, EHR vendors, and clinical educators to regulators, researchers and the patient community, to help facilitate this trust so that the promise of AI in health care can be realized.Copyright © 2023 Elsevier Inc. All rights reserved.

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Clinician Trust in Artificial Intelligence: What is Known and How Trust Can Be Facilitated.

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