AI RESOURCES
AI Rights For Patients
Content provided by:
The Light Collective, a collective of expert patients building tech & digital rights for you.
A Proof-of-Concept Study
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:
OpenNotes: A Proof-of-Concept Study for Patient Use of Open Notes with Large Language Models
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

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
Patient Safety and Artificial Intelligence
Opportunities and Challenges for Care Delivery

Content provided by:
Lucian Leape Institute, an initiative of the Institute for Healthcare Improvement, guiding the global patient safety community.
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
National Academy Of Medicine
Digital Health & AI Action Collaborative
As one of four action collaboratives under the National Academy of Medicine’s Leadership Consortium, the Digital Health and AI Action Collaborative (DHAC) works to advance the digital infrastructure necessary for continuous improvement and innovation in health, health care, and evidence development.
A seamless digital infrastructure for the protected capture, sharing, analysis, and use of health data and information is required for health system effectiveness, efficiency, equity and continuous learning and improvement.

CoDEx presents
"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.
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
