Look Before You Leap: Insights On The Implementation Of Ai Across Healthcare Settings-Reference-Cited by-同舟云学术

Look Before You Leap: Insights On The Implementation Of Ai Across Healthcare Settings

Published:2023-09 Issue:1 Volume:67 Page:589-592
ISSN:2169-5067
Container-title:Proceedings of the Human Factors and Ergonomics Society Annual Meeting
language:en
Short-container-title:Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Author:

Anders Shilo¹²,Militello Laura G.³⁴,Bitan Yuval⁵^ORCID,Salwei Megan E.¹²,Ratwani Raj⁶⁷,Papautsky Elizabeth Lerner⁸

Affiliation:

1. Center for Research and Innovation in Systems Safety, Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA

2. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA

3. Applied Decision Science, LLC, Dayton, OH, USA

4. Unveil, LLC, Cincinnati, OH, USA

5. Department of Health Policy and Management, Ben-Gurion University of the Negev, Israel

6. MedStar Health National Center for Human Factors in Healthcare, Washington DC, USA

7. Georgetown University School of Medicine, Washington DC, USA

8. Department of Biomedical & Health Information Sciences, University of Illinois Chicago, Chicago, IL, USA

Abstract

The prevalence of artificial intelligence (AI) is rapidly growing across industries including in health care. AI has the potential to improve patient safety (e.g., diagnostic error) and reduce clinician workload (e.g., documentation burden) and healthcare costs. Yet, many questions remain about how clinicians will interact with and use AI to support their work and how these technologies will impact clinician workflow, decision-making, and teamwork. It is also uncertain how patients will interact with AI, with a recent report suggesting 60 percent of US adults are uncomfortable with their health care providers using AI. In this panel, we will discuss AI applications across differing health care contexts and describe how AI influences clinician (and patient) workflows. We will outline considerations for the design and implementation of AI-based technologies in health care and needed areas of future research.

Publisher

SAGE Publications

Subject

General Medicine,General Chemistry

Link

http://journals.sagepub.com/doi/pdf/10.1177/21695067231199686

Reference9 articles.

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2. Engaging Patients in Co-Design of Mobile Health Tools for Surgical Site Infection Surveillance: Implications for Research and Implementation