Responsible AI in Healthcare with Electronic Health Records Data (24w7002)


Jessica Gronsbell (University of Toronto)

Tianxi Cai (Harvard)

Marzyeh Ghassemi (MIT)

Bhramar Mukherjee (University of Michigan)

Paul Varghese (Verily Life Sciences)


The Banff International Research Station will host the "Responsible AI in Healthcare with Electronic Health Records Data" BIRS Now! workshop in Banff from October 20 to October 22, 2024.

Electronic health records (EHRs) are a central data source for artificial intelligence (AI) in healthcare as they contain rich data on large populations of patients and the medical care they receive. AI with EHR data has already accelerated biomedical research to improve patient care, including studies uncovering the effectiveness of medical treatments and new tools that predict disease risk and progression. However, the analysis of EHR presents numerous challenges that have bottlenecked the widespread and responsible use of AI in medical practice. The objective of this workshop is to bring together international leaders across academia, industry, and government in a collaborative atmosphere to tackle the most pressing challenges in responsible AI with EHR data.

The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), and Alberta's Advanced Education and Technology.