Welcome! In this issue, we’re thrilled to announce a collaboration with Omada Health to conduct the largest pragmatic randomized controlled trial (RCT) to date of remote patient monitoring and health coaching for the treatment of hypertension. We’re also pleased to share our recent publications on predicting avoidable health care utilization with AI in Mayo Clinic Proceedings, AI for advance care planning and care escalation in NEJM Catalyst Innovations in Care Delivery, and our keynote on a national strategy for AI in primary care at the HIMSS22 Machine Learning and AI for Healthcare Forum. See what we’re working on, and join us!

Justin Wu, MD, Senior Medical Director, Clinical Innovation & Quality, Omada Health

"One of the greatest barriers to realizing the potential of digital health is the lack of integration of siloed solutions with the medical home. I'm most excited by the genuine interest and desire demonstrated by the Stanford primary care teams to work closely with the Omada care team to ensure we're all on the same page, coordinating efforts and learning how to make this future care model a reality."

Sang-ick Chang, MD, Division Chief, Primary Care and Population Health, Stanford Medicine

“A research collaboration with a health coaching company like Omada holds the promise of extending our relationships and our influence, beyond the doctor-patient relationship with a team that can provide ongoing encouragement and advice. That said, as stewards of limited health care resources, its is critical that we know that this added expense is cost-effective and makes a real difference. That is why the Omada study is so exciting – we get to fully and rigorously test their program, to inform not only the general medical community, but our own patient care strategies as well.”

Sridhar Seshadri, DBA, Vice President and Chief Administrative Officer, Destination Service Lines, Stanford Health Care

“As health systems consider adopting new technologies it is important that we rigorously study and test our hypotheses where we can to ensure value add. Through this study, and our health system’s collaboration with the School of Medicine and Omada Health we are paving the way for understanding the incremental benefit of RPM and health coaching technologies and how they can be effectively paired with patients’ medical home. This is an exciting prospect and precedent for establishing future pathways for technology adoption in health care.”

Dr. Julian Genkins is an internist and Clinical Informatics (CI) Fellow at Stanford. He did his medical training at Vanderbilt University School of Medicine, followed by an internal medicine residency at UCSF. While engaging in his two year CI fellowship, Julian is a part of HEA₃RT as a leaner to explore the integration of AI into clinical practice. His work with HEA₃RT thus far has focused on the AI In Basket initiative, both to help formulate the problem being solved and to integrate this work effectively with the large In Basket optimization initiatives within Stanford Healthcare. He is excited for the potential of AI to expand the capabilities of primary care providers and focus the daily work of a clinician away from the mounting administrative task burden and back to joyful practice of medicine. Outside of HEA₃RT, his CI work has centered on how data can inform workflows and care delivery, as well as developing education and tools to shape how clinicians interact cognitively with the technology they use. In his free time, Julian enjoys all forms of outdoor activity, including trail running, soccer, and backcountry camping.