Lessons from Brian Anderson, Chief Digital Health Physician MITRE and Co-Founder of CHAI, on building trustworthy healthcare AI that serve all of us
Feb 28, 2024
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Dr. Brian Anderson, Chief Digital Health Physician at MITRE and Co-founder of CHAI, discusses building trustworthy healthcare AI. Topics include CHAI's AI process standards, federated network of assurance labs, and advice for health AI innovation community.
AI advancements in healthcare are accelerating, with the potential for AGI within 2-5 years, revolutionizing healthcare practices and decision-making.
Innovation in AI for patient navigation tools and drug discovery holds promise for startups, emphasizing personalized care delivery and medication development.
Deep dives
AI in Healthcare Innovation and Vision for the Future
In the podcast episode, Dr. Brian Anderson discusses the accelerating pace of AI advancements, particularly in the healthcare sector. He highlights a shift in timelines from 10 years to possibly 2-5 years for the advent of Artificial General Intelligence (AGI) in healthcare. This indicates a rapid evolution and adoption of AI technology within the next few years, potentially revolutionizing healthcare practices and decision-making.
Patient Navigation and Drug Discovery as Promising Spaces for Startups
Dr. Anderson emphasizes two key areas of innovation in AI and healthcare that hold significant promise for startups. Firstly, patient navigation tools leveraging AI could enhance access to quality healthcare and personalized care delivery. Secondly, advancements in AI for drug discovery present opportunities for developing tailored medications and accelerating the drug development process, leading to personalized medicine breakthroughs.
Equity and Trustworthiness in AI Development and Deployment
Dr. Anderson underscores the importance of building trustworthy AI solutions that prioritize equity and transparency in healthcare settings. By focusing on mitigating biases, explaining model outputs, and ensuring ethical development practices, startups can gain credibility and acceptance within risk-averse healthcare environments. Prioritizing economic benefits and developing tools for patient navigation and clinical decision support are essential for successful deployment.
Personal and Professional Balance in the New Year
Looking ahead to 2024, Dr. Anderson expresses his resolution to strike a better balance between his professional commitments in AI and personal life, aiming to spend more time reconnecting with his family in Colorado. This resolution reflects a desire to maintain a healthy work-life balance, engaging in personal interests like fly fishing and enjoying the outdoors to rejuvenate and recharge outside of the demanding AI healthcare landscape.
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.
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