M.D., Associate Vice Chancellor for Informatics; Chief Digital Transformation Officer; Executive Director, Center for Digital Health Innovation; Professor of Medicine, Cardiology, UCSF
Dr. Blum is responsible for UCSF’s strategic design and implementation of informatics and digital health capabilities in support of clinical care delivery and discovery. He is a Professor of Medicine in Cardiology, specializing in preventative cardiology and the care of patients with congestive heart failure, valvular heart disease, and general cardiology. Dr. Blum is passionate about wellness and the prevention of heart disease through a heart-healthy lifestyle that includes diet, exercise and stress reduction, as well as early detection of heart disease and aggressive medical intervention to reduce its impact. His clinical and informatics activities intersect as he works to drive the digital transformation of care delivery.
Prior to his medical career, Dr. Blum was trained as an engineer and applies his expertise in technology to health care as UCSF’s Chief Digital Transformation Officer and the Executive Director of the UCSF Center for Digital Health Innovation (CDHI). Previously, he was a leader of the successful enterprise deployment of Epic’s electronic health record and the development of a large scale enterprise networked data warehouse that supports the campus’s clinical, research, and education missions and expands data and information sharing and aggregation across the University of California system.
Dr. Blum has a special interest in the application of digital technologies and clinical decision support to improve health and healthcare. He leads UCSF’s early stage validation and incubation of digital health technologies to improve wellness preservation and disease management. After successful validation of these technologies, CDHI collaborates with industry partners to commercialize and distribute the solutions. Dr. Blum led the formation of the UCSF-Samsung Digital Health Innovation Laboratory, the UCSF-Cisco collaboration to develop the Connected Health Interoperability Platform, and the UCSF-GE collaboration on artificial intelligence and deep learning in healthcare.
Using AI to Deliver Precision Medicine
Machine and Deep Learning are very promising technologies that may help us progress toward Precision Medicine. However, there is concern that this space may be over-hyped and that expectations are unrealistic. This session will discuss some of UCSF’s efforts to develop real-world ML/DL algorithms in pursuit of precision medicine.