Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety

Author:

Sendak Mark P1ORCID,Liu Vincent X2,Beecy Ashley3,Vidal David E4,Shaw Keo5,Lifson Mark A4,Tobey Danny5,Valladares Alexandra1,Loufek Brenna46,Mogri Murtaza2,Balu Suresh1

Affiliation:

1. Duke Institute for Health Innovation, Duke University , Durham, NC 27701, United States

2. Division of Research, Kaiser Permanente , Oakland, CA 94612, United States

3. Division of Cardiology, Department of Medicine, Weill Cornell Medicine and NewYork-Presbyterian Hospital , New York, NY 10021, United States

4. Center for Digital Health, Mayo Clinic , Rochester, MN 55905, United States

5. DLA Piper , Washington, DC 20004, United States

6. Nuffield Department of Primary Care Health Sciences, University of Oxford , Oxford, OX2 6GG, United Kingdom

Abstract

Abstract Objectives Surface the urgent dilemma that healthcare delivery organizations (HDOs) face navigating the US Food and Drug Administration (FDA) final guidance on the use of clinical decision support (CDS) software. Materials and Methods We use sepsis as a case study to highlight the patient safety and regulatory compliance tradeoffs that 6129 hospitals in the United States must navigate. Results Sepsis CDS remains in broad, routine use. There is no commercially available sepsis CDS system that is FDA cleared as a medical device. There is no public disclosure of an HDO turning off sepsis CDS due to regulatory compliance concerns. And there is no public disclosure of FDA enforcement action against an HDO for using sepsis CDS that is not cleared as a medical device. Discussion and Conclusion We present multiple policy interventions that would relieve the current tension to enable HDOs to utilize artificial intelligence to improve patient care while also addressing FDA concerns about product safety, efficacy, and equity.

Funder

Gordon and Betty Moore Foundation

Publisher

Oxford University Press (OUP)

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