Francesca Rinaldo, MD, PhD
Francesca Rinaldo, MD, PhD, is senior vice president of clinical product and innovation at Sharecare and an affiliated scholar at the Stanford Clinical Excellence Research Center (CERC). At Sharecare, Dr. Rinaldo oversees the strategy and business development for the digital health company’s home care offering, CareLinx by Sharecare. A physician-scientist with a background in basic/translational research, clinical research, and healthcare delivery innovation, Dr. Rinaldo also brings clinical rigor to Sharecare’s offerings across all lines of business, helping teams to evaluate the outcomes and value delivery for the tools, interventions, and offerings within the company’s digital health ecosystem.
She joined Sharecare through its acquisition of doc.ai, where she served as director of clinical quality and innovation after training in general surgery at Stanford Health Care between 2015 and 2020. Her clinical interests include end-of-life care, and the impact of loneliness, social isolation, and other social determinants on the health of the rapidly aging global population. She is passionate about exploring novel applications of medical devices, digital health platforms, and artificial intelligence for improving the quality, cost, and accessibility of healthcare for all individuals.
In 2018, she completed a healthcare design fellowship at the Stanford CERC. During her fellowship, Dr. Rinaldo and her team used healthcare delivery innovation methodology to synthesize information from site visits, peer-reviewed literature, and interviews with more than 50 national experts to design a cost-effective and high-quality care delivery model for the “late life” population. The Late Life Care Model was published subsequently in the New England Journal of Medicine Catalyst: Innovations in Care Delivery. Upon completing the fellowship, she remained at CERC as an associate director for the healthcare design fellowship and served as a clinical lead for the Stanford CERC Partnership for AI-assisted Care (PAC). At PAC, she co-led a team of computer scientists and clinicians in a study examining the application of computer vision deep-learning algorithms to detect patterns of mobility in critically ill patients, and how these patterns drive post-ICU clinical outcomes. This work was supported by grant funding from the Stanford Institute for Human-Centered Artificial Intelligence and published in Nature Digital Medicine. Dr. Rinaldo earned a bachelor’s degree in public policy analysis at the University of Chicago and an MD-PhD dual-degree at the University of Louisville School of Medicine, where she graduated magna cum laude.