Aligning AI principles and healthcare delivery organization best practices to navigate the shifting regulatory landscape.

Journal: NPJ digital medicine
Published Date: May 14, 2025

Abstract

As artificial intelligence (AI) becomes further embedded in healthcare, healthcare delivery organizations (HDOs) must navigate a complex regulatory landscape. Health AI Partnership (HAIP) has created 31 best practice guides to inform the development, validation, and implementation of AI products. Here, we map the most common principles found in 8 key AI regulatory frameworks to HAIP recommended best practices to provide practical insights for compliance with expanding AI regulations.

Authors

  • Alifia Hasan
    Duke Institute for Health Innovation, Durham, NC, USA. alifia.hasan@duke.edu.
  • Noah Prizant
    Duke Institute for Health Innovation, Durham, NC, USA.
  • Jee Young Kim
    Division of Environmental Science & Ecological Engineering, College of Life Sciences & Biotechnology, Korea University 145, Anam-ro, Seongbuk-gu Seoul 02841 Korea lovewood@korea.ac.kr +82 2 3290 9753 +82 2 3290 3014.
  • Shreya Rao
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • David Vidal
    Center for Digital Health, Mayo Clinic, Rochester, MN.
  • Keo Shaw
    DLA Piper, Washington, DC 20004, United States.
  • Danny Tobey
    DLA Piper, Dallas, Texas, USA.
  • Alexandra Valladares
    Duke Institute for Health Innovation, Duke University, Durham, NC 27701, United States.
  • Shira Zilberstein
    Duke Institute for Health Innovation, Durham, NC, USA.
  • Manesh Patel
    Duke University School of Medicine, Durham, NC, USA.
  • Suresh Balu
    Duke Institute for Health Innovation.
  • Mark Sendak
    Duke Institute for Health Innovation.
  • Mark Lifson
    Mayo Clinic, Rochester, MN, USA.

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