The chapter explores the concept of assurance labs for healthcare AI validation, stressing independent validation for trustworthy AI. It discusses the impact of model configuration on bias and usability, empowering healthcare facilities with AI tools. The conversation touches on challenges for startups, transparency in AI models, and the future role of AI in healthcare innovation.
This week, we’re super excited to chat with Brian Anderson, co-founder of CHAI, Coalition for Health AI, and Chief Digital Health Physician at MITRE.
CHAI is a community of academic health systems, organizations, and expert practitioners of artificial intelligence and data science. Brian leads research and development efforts across major strategic initiatives in digital health, partnering with the US government and private sector companies.
Prior to joining MITRE, Anderson led the Informatics and Network Medicine Division at athenahealth, where he launched a new model of clinical decision support leveraging artificial intelligence. He has also served on several national health information technology committees in partnership with the Office of the National Coordinator (ONC). On top of all that, Brian is also a Harvard Medical School Associate Professor of Biomedical Informatics and senior advisor for ARPA-H in Clinical Trial Innovation. Anderson completed his clinical training at Massachusetts General Hospital and completed his B.A. and M.D. degrees at Harvard College and Harvard Medical School.
In this episode, we talk about Brian’s career journey from clinical practice to digital health, CHAI’s efforts to establish AI process standards for healthcare, the concept of a federated network of assurance labs, and advice for the health AI innovation community.