We are developing AI and machine learning tools that reflect our deep understanding of healthcare system economics – the incentives, regulatory environment, behavioral biases, and information structure – that makes problem-solving in healthcare inherently complex. We seek to develop insights that make societal impact and real-world change by supporting interdisciplinary research and the development of new tools and technologies, as well as start-up companies in the healthcare marketplace.
CHMI supports this innovation ecosystem with one of the largest multimodal healthcare data platforms in the world, combining rich data from electronic medical records, images, wave forms, claims, wearables, and beyond. We believe that a deep understanding of human behavior, regulation, and market incentives – combined with unique data assets at scale and novel AI and computational tools – will inform the innovations that need to be developed for the healthcare system of the future.
The center is a partnership between the College of Computing, Data Science, and Society and the Haas School of Business at UC Berkeley.
Jonathan Kolstad is an economist whose research interests lie at the intersection of health economics, industrial organization, and public economics. He is particularly interested in finding new models and unique data that can account for the complexity of markets in healthcare, notably the role of information asymmetries and incentives.
Kolstad was awarded the ASHEcon Medal in 2018, given biennially to the economist age 40 or under who has made the most significant contributions to the field of health economics, the Arrow Award for the best paper in health economics in 2014, and the NIHCM Foundation Research Award in 2016 and 2018. Kolstad received his Ph.D. from Harvard University and bachelor's degree from Stanford University.
