Amy M. Sitapati, MD
Chief, Division of Biomedical Informatics (UCSD)
Chair, Department of Biomedical Informatics (UCSDH)
Chief Medical Information Officer for Population Health (UCSDH)
Lawrence S. Friedman Professor of Population Health, Endowed Chair (UCSD)
UC San Diego
Clinical Professor of Medicine
asitapati@health.ucsd.edu
Profile: http://profiles.ucsd.edu/amy.sitapati
LinkedIn: https://www.linkedin.com/in/amy-sitapati-
Website: https://sitapati.org
Dr. Amy M. Sitapati serves as a Clinical Professor of Medicine at UC San Diego as well as the Chief and Chair of Biomedical Informatics, and UCSDH Chief Medical Information Officer for Population Health. Dr. Sitapati seeks opportunities to align people, process, and technology to deliver ‘Data Powered Health.’ She is Board Certified in Clinical Informatics and Internal Medicine, certified as a Lean Expert, with undergraduate training as a Biomedical Engineer and master’s level training in Clinical Research and Business Administration. She leads UCSD’s academic biomedical informatics vision for transforming healthcare delivery through health artificial intelligence, precision medicine, registries, vital records, quality informatics, and other innovative tools.
Nationally, Dr. Sitapati serves as FDA Special Government Employee, on the Boards of AMDIS and American Heart Association, previously served on HHS’s ICD-11 Workgroup. Within the State of California, Dr. Sitapati serves as an appointed advisor to the California Department of Health Care Access and Information (HCAI) Hospital Equity Measures Advisory Committee as well as on the Boards of the Center for Data Driven Insights and Innovation -CDI2 as well as the California Public Hospitals and California Safety Net Institute. At UCSDH, she leads $44m incentive quality payment program, COSMOS, SlicerDicer, >180 UCSDH registries.
Dr. Sitapati is a population health and public health academic visionary currently co-PI of California’s birth and decedent registries (vital records & vital statistics) as well as the site PI for the NIH All of US at UCSD. Her expertise includes design, implementation, use, and evaluation of large data sets (i.e. NIH All of Us, enterprise BI, etc.), registries (i.e. EMR, national, public health state), data quality (i.e. NIH AoU, cross UC OMOP, CMS Incentive payment programs, California birth and decedent registries, ACO, claims, Medical, American Heart Association, AMGA, etc.), terminology (ICD, SNOMED, etc.), FAIR data (i.e. local EMR, NIH All of Us, California vital records), and implementation of new innovation (i.e. LLM/AI/ChatGPT, FHIR/HL7). She has expertise in designing innovation that incorporates artificial intelligence (LLM and ML) into traditional domains of population health, quality, and public health. Other areas of expertise include in patient centered care delivery, research on populations with health disparities, development of a chronic disease registry, and engaging patients in digital health.