haip progress

HAIP Members Lead AI Adoption 🎉 Two HAIP sites have been recognized in the Center for Health AI Risk, Governance & Ethics (CHARGE) list of FQHCs leading AI adoption with limited resources Congratulations San Ysidro Health and Community-University Health Care Center!

AI in action

Topic Leveraging AI to Enhance Care Quality and Workforce SatisfactionAI in Action: Practical Applications for Safety Net Providers is a monthly series co-hosted by Center for Care Innovations and HAIP, dedicated to AI implementation within FQHCs and safety net organizations to promote equitable access and improved outcomes. Session Description In this AI in Action webinar, Christopher Kelsch of Winters Healthcare will share how his organization is adopting AI to improve care delivery and workforce experience, including the use of ambient clinical documentation and AI‑enabled diabetic retinopathy screening. He will also discuss how AI is being leveraged to support meetings and collaboration across the organization. A central theme of this session is using AI to reduce burden, improve quality, and support workforce satisfaction and retention. Chris will briefly share how this broader focus on staff wellbeing has also informed other operational experiments, including a pilot four‑day work week. Date and Time May 13, 2026 at 2:00 PM EST / 11:00 AM PSTAfter registering, you will receive a confirmation email with the link to join the meeting.

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Speaker

Chris Kelsch, MA, MPH | Winters HealthcareChris Kelsch, MA, MPH is the Executive Director of Winters Healthcare, where he has spent over 20 years leading the organization’s evolution from a small non-profit into a $12 million Federally Qualified Health Center (FQHC). With a background in public health policy and economics from the University of Michigan, Christopher brings a unique analytical perspective to the healthcare landscape. He is deeply fascinated by the potential of AI to revolutionize healthcare delivery, viewing it as a vital tool for achieving a “win-win-win” for patients, staff, and the community. Known for his ability to find a genuine connection with everyone he speaks with, Christopher is dedicated to building resilient, strategically agile organizations that thrive in a rapidly changing environment.

health AI hub

Topic The Landscape of AI Implementation in US Hospitals: An Emerging Divide in Adoption and Benefit health AI hub collaboratory rounds bring together experts and practitioners to share and explore various aspects of AI lifecycle management in healthcare. These monthly gatherings are designed to keep you informed about the latest trends, best practices, and challenges in the dynamic field of healthcare AI. Session Description Artificial intelligence (AI) has the potential to improve healthcare delivery, but uneven adoption and implementation can reinforce existing care gaps and inefficiencies. In this session, the authors of “The landscape of AI implementation in US hospitals” share findings from their recent study, analyzing data from over 3,500 hospitals to examine where AI is implemented, what factors are associated with implementation, and the patterns of early AI adoption across geographical regions. The findings highlight a critical paradox: while AI holds promise for improving care, its implementation is clustered in specific regions, leaving areas with the greatest healthcare needs less likely to benefit. The authors will explore “hotspots” and “coldspots” of AI adoption, unpack the regional factors driving these disparities, and explain how local context influences whether hospitals implement predictive AI models. Attendees will gain insight into the current landscape of AI in healthcare, why a one-size-fits-all apprach to deployment may fall short, and what steps are needed to ensure more equitable and effective implementation moving forward. Date and Time May 28, 2026 at 3:00 PM EST / 12:00 PM PSTAfter registering, you will receive a confirmation email with the link to join the meeting.

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Speakers

Tina Hernandez-Boussard, PhD MPH, MS, FACM | Stanford UniversityDr. Hernandez-Boussard is an Associate Dean of Research and Professor of Medicine (Biomedical Informatics), Biomedical Data Sciences, Surgery and Epidemiology & Population Health (by courtesy) at Stanford University. Her work is at the intersection of informatics and population health, promoting responsible AI across populations. She utilizes diverse, multimodal data to develop rigorous criteria and guidelines that steer the development of responsible AI, aiming to bridge gaps in health care and enhance patient outcomes. Dr. Hernandez-Boussard advocates for practices that ensure the benefits of digital technologies are realized across all segments of society.

Madelena Ng, DrPH, MPH | SCBEDr. Madelena Ng is a Postdoctoral Scholar in the Stanford Center for Biomedical Ethics (SCBE), training under the NHGRI T32 Ethical, Legal and Social Implications (ELSI) Research Program. Dr. Ng is an applied health scientist whose work evaluates the real-world impact of emerging technologies on people and society. As generative AI continues to advance rapidly, she aims to embed ethics into the core of health AI development and operations. Alongside Dr. Tina Hernandez-Boussard, she has led foundational work in AI ethics, governance, and responsible innovation. Dr. Ng’s research has consistently demonstrated that technological solutions alone are insufficient in addressing the shortcomings inherent in the biomedical research ecosystem. This challenge is similarly reflected in health AI, where limited generalizability and inequitable access across populations remain pressing concerns.

Yeon Mi Hwang, PhD | Stanford MedicineYeon-Mi Hwang is a Postdoctoral Scholar at Stanford Medicine in the Division of Computational Medicine. Her research sits at the intersection of biomedical informatics and health equity, with a focus on understanding who benefits from advances in health AI and who gets left behind. She takes a multi-level approach, spanning modeling comorbidity and disease burden at the individual level, examining disparities in vulnerable populations, and studying patterns of AI adoption across healthcare systems. She is the first author of The landscape of AI implementation in US hospitals, which examines geographic disparities in clinical AI adoption across U.S. hospitals.

leadership news & scholarship

Check out HAIP’s new publication: A Collaborative Best Practice Guide for Promoting AI Vendor Transparency in Health Care — The HAIP AI Vendor Disclosure Framework This work is ongoing as we continue to learn more about health system needs in vendor engagement. Thank you to the site leads who dedicated time to help develop this resource, and to the vendors who completed the assessment forms used as examples in the Supplementary Appendix! We look forward to having more vendors join in on this effort

corps network news & scholarship

New in the AMA Update Series: Artificial Intelligence in Health Information ManagementCongratulations to Miranda Bogen and team on this new publication: Out of Tune: Fine-Tuning Foundation Models Leads to Unpredictable Safety DriftCheck out the HL7 AI Challenger hereCongratulations to Trish Henwood on being part of the Frist Cressey Ventures Collective Cohort!UNC Health is championing a new platform for AI development. Read more hereInterested in AHIMA events? Find out more hereTune in to Karandeep Singh’s talk on Bias in Health AI here

podcast, news and events of interest

Health Care AI News: (NEJM AI, April 2026): Automation Bias in Large Language Model–Assisted Diagnostic Reasoning among Physicians Trained in AI Literacy — A Randomized Clinical Trial(Gallup, April 2026): Americans Turning to AI to Supplement Healthcare Visits(Manatt, May 2026): Managing Unintended Bias in Medical AI: A Practical Framework for Health Care Leaders(FDA, April 2026): AI-Enabled Optimization of Early-Phase Clinical Trials Pilot Program; Request forInformation(STAT, April 2026): Utah Medical Board Calls for Immediate Suspension of State’s AI Doctor Experiment Recordings/Slides of Past Events:Explore our previous Real World AI Series hereCheck out the recordings of our past Health AI Hubs hereWatch our past AI in Action webinars here

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