AI RESOURCES

Patients for Patient Safety US (PFPS US) provides a range of resources and initiatives focused on advancing responsible and patient-centered use of artificial intelligence (AI) in healthcare. As a patient-led, non-profit organization, PFPS US is dedicated to enhancing patient safety by advocating for the integration of advanced technologies, including AI, while ensuring these innovations truly serve the needs and concerns of patients and families.


In summary, PFPS US is at the forefront of integrating AI in healthcare by combining advocacy, research, policy, and education to ensure that AI-driven innovations are safe, equitable, and truly responsive to patient needs.

AI Rights For Patients

Content provided by: The Light Collective.

A collective of expert patients building tech & digital rights for you.

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A Proof-of-Concept Study for Patient Use of Open Notes with Large Language Models

Salmi L, Lewis DM, Clarke JL, Dong Z, Fischmann R, McIntosh E, Sarabu CR, DesRoches CM. A proof-of-concept study for patient use of open notes with large language models. JAMIA Open, Volume 8, Issue 2, April 2025, ooaf021, doi.org/10.1093/jamiaopen/ooaf021


Content provided by: Open Notes

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A Patient-in-the-Loop Approach to Artificial Intelligence in Medicine

Maxime F. Griot, MSc, MD; Graham A. Walker, MD



Content provided by: Jama Network

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Patient consent for the secondary use of health data in artificial intelligence (AI) models: A scoping review

Khadijeh Moulaei, Saeed Akhlaghpour, Farhad Fatehi

International Journal of Medical Informatics 2025 June



Content provided by: Read by QxMD

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Patient Safety and Artificial Intelligence

Content provided by: Lucian Leape Institute.


An initiative of the Institute for Healthcare Improvement, guiding the global patient safety community.

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AI: Promise or Peril for Patient Safety

Beth Daley Ullem, MBA, Martin J. Hatlie, JD, and Olivia Lounsbury


Patient Concerns: 4 Priorities

  • Data Integrity and Bias
  • Efficacy
  • Payment
  • Transparency and Shared Improvement

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National Academy Of Medicine Digital Health & AI Action Collaborative

Maxime F. Griot, MSc, MD; Graham A. Walker, MD



Content provided by: Jama Network

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AI and Me: How Technology Led to the Right Diagnosis

While much of the AI conversation focuses on how clinicians use technology to improve diagnoses, what happens when patients and caregivers turn to AI for answers themselves? This insightful webinar explores the untapped potential of AI and LLMs as tools for patients seeking second opinions, driving earlier and more accurate diagnoses. Featuring patient safety leaders Susan E. Sheridan, MIM, MBA, DHL, alongside healthcare entrepreneur Courtney Morales Hofmann, MBA, this discussion will highlight real-life stories of AI’s impact, the evolving role of patients in AI-driven healthcare, and key considerations for safety, governance, and co-development. Don’t miss this timely conversation on the future of diagnosis and patient empowerment.

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Health Care Artificial Intelligence Code of Conduct

Toward a Code of Conduct Framework for Artificial Intelligence in Health, Health Care, and Biomedical Science

The Artificial Intelligence Code of Conduct (AICC) project is a pivotal initiative of the NAM, aimed at providing a guiding framework to ensure that AI algorithms and their application in health, health care, and biomedical science perform accurately, safely, reliably, and ethically in the service of better health.


Content provided by: National Academies

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A Call for Disclosure When Using AI for Patient Communications

Authors: Marlene Millen, M.D. , Ming Tai-Seale, Ph.D.  and Christopher A. Longhurst, M.D


Content provided by: NEJM

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