Lawrence S. Friedman Professor of Population Health
Amy M. Sitapati, MD serves as the Lawrence S. Friedman Endowed Chair
Our vision for the Lawrence S. Friedman Professor of Population Health is to advance our San Diego local community’s health incorporating scalable technology enabled solutions valuing justice, equity, and inclusion. In order to inform the national agenda in population health, we will demonstrate how digital innovation and implementation science drive improvement in healthcare outcomes for the common good.
Appointment July 1, 2024 - June 30, 2029.
Gratitude
Kind regards to the family and esteemed friends of Dr. Larry Friedman inclusive of Margie Friedman, Gilbert Lam, as well as his close friends including Jan Mulligan, Harvey Berger, and Belinda Hein. Thanks to his health system friends and colleagues including Chris Longhurst, Patty Maysent, and many others for their guidance and support.
HONORING A LEGACY OF COMPASSION AND HUMANISM
Population Health
Population Health
Population Health
Enhance local strengths in population health that incorporate digital health, innovation, care pathways, patient engagement, and implementation science to advance equitable health quality and outcomes
Equity Focus
Population Health
Population Health
Build capacity in the regional San Diego community to address priority areas of population health disparities inclusive of social determinants, mental health, behavioral health, and persons living with stigma
Advance Impact
Population Health
Advance Impact
Advance the scale of impact through a Lawrence S. Friedman Professor of Population Health annual lectureship, innovative research, scholarly publication, and national service
Changing Healthcare through Innovation
Building Machine Learning Models to Advance Healthcare Delivery
Our team led by our graduate student data scientist, Grace Yufei Yu, has been working on a machine learning model 'The Friedman Score' that predicts ambulatory patients who are likely to need their medical home's time and care. We hope this model can improve how medical teams deliver care and meet patient needs directing the right patient to the right care at the right frequency inclusive of their medical conditions, behavioral health, and social determinants. We have gratitude to our team including: Yufei (Grace) Yu, Alson Mo, Hyeon Seok Hwang, M.D., Amy Sitapati, M.D. from the Division of Biomedical Informatics, and Joseph Diaz, M.D. from the Division of General Internal Medicine at the University of California San Diego, La Jolla, CA, USA as well as Tsung-Ting Kuo, Ph.D., from Yale School of Medicine, New Haven, CT, USA.
