Signature Series 2024

2024 Signature Series Public Congressional Briefing

October 2, 2024
11:00 am-

12:30 pm

hart senate office building
Health IT
Policymakers | Health Care Stakeholders | Media
,

Navigating AI in Health Care Policy: How Are Standards Evolving?

Event Description

This briefing will provide a foundational conversation for congressional staff and federal policymakers on how leaders in healthcare AI policy are conceiving and creating standards for responsible Artificial Intelligence (AI) in health care. Speakers will lead the discussion, offering various perspectives and frameworks under development with the purpose of ensuring patient safety, fostering trust, and promoting responsible AI. The webinar will also address the challenges of establishing effective standards that foster trust and encourage innovation in an environment of fast paced technology change. 

By the end of the event, attendees will gain a deeper understanding of the strategic principles and tradeoffs involved in developing and implementing AI standards, frameworks and guidelines  in health care. They will also learn about specific resources and current models available, how they are alike and different, and the tradeoffs involved in different approaches for evaluating AI models to  encourage AI deployment that aligns with ethical standards and public interests.

Learning Goals

  • Understand the role of standards, frameworks and guidelines for  AI health care applications, including their role in ensuring patient safety, fostering trust, and promoting responsible innovation. 
  • Understand different available resources and groups working on standards, and the different approaches that guide them, and how they balance risks and opportunities for AI.
  • Identify the key challenges in establishing effective AI standards, tradeoffs of different approaches, and complexity of keeping pace with rapid technological advancements.
  • Explore opportunities to build on existing frameworks and improve current approaches to AI standards, with a focus on enhancing interoperability, addressing biases, and supporting privacy protections.
  • Gain insights into the strategic principles necessary,  developing and implementing AI standards, including defining success, balancing economic incentives with public trust, and ensuring best practices for version control and traceability.
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Speakers

René Quashie, J.D.

Vice President, Digital Health, Consumer Technology Association

Laura Adams, M.S.

Senior Advisor, National Academy of Medicine (NAM)
Laura Adams, Senior Advisor at the National Academy of Medicine (NAM), provides strategic leadership for the Science and Technology portfolio of the Leadership Consortium and leads the NAM’s Artificial Intelligence Code of Conduct (AICC) national initiative. Her expertise is in AI, digital health, and human-centered care. She is a member of the international AI Expert Panel for the Organization of Economic Co-operation and Development (OECD) and chairs the Global Opportunities Group for the AI Regulatory Science and Innovation Network in the UK. Laura serves on the boards of Boston-based T2 Biosystems and TMA Precision Health; and is a strategic advisor for Inflammatix, a Burlingame, CA-based biotech company specializing in transcriptomics/host immune response diagnostics. She chaired the Institute of Medicine’s (IOM) Planning Committee for the “Digital Infrastructure for the Learning Healthcare System” initiative. She is recognized as a strategic leader of large scale multi-sectoral initiatives with a deep experience in and understanding of the complex U.S. health care industry, including how the components function and interact. Laura was among the first to bring the science of healthcare quality improvement to the Middle East, in conjunction with Donald Berwick, MD and the Harvard Institute for Social and Economic Policy in the Middle East. She served as Institute for Healthcare Improvement (IHI) faculty at the inaugural IHI Middle East Forum on Quality Improvement in Healthcare in Doha, Qatar. Prior to her work at the NAM, Laura was founding President and CEO of the Rhode Island Quality Institute (RIQI), Rhode Island’s statewide health information exchange. Under her leadership, RIQI won the National Council for Community Behavioral Health Excellence Award for Impact in serving those with behavioral health and substance abuse challenges. RIQI was the recipient of the national Healthcare Informatics Innovation Award; and was a top finalist for the New England Business Innovation award for impact on the opioid crisis. Laura has delivered keynotes in nearly every state in the union and in 13 foreign countries.

Mark Sendak, M.D., MPP

Population Health and Data Science Lead, Duke Institute for Health Innovation (DIHI)
Mark Sendak, MD, MPP is the Population Health & Data Science Lead at the Duke Institute for Health Innovation (DIHI), where he leads interdisciplinary teams of data scientists, clinicians, and machine learning experts to build technologies that solve real clinical problems. Together with his team, he has built tools to transform chronic disease management within an Accountable Care Organization and detection and management of inpatient deterioration within hospitals. He has integrated dozens of data-driven technologies into clinical operations and is a co-inventor of software to scale machine learning applications and real-world evidence generation across health systems. He leads the DIHI Clinical Research & Innovation scholarship, which equips medical students with the business and data science skills required to lead health care innovations. He co-leads Health AI Partnership, a learning collaborative to advance the safe, effective, and equitable use of AI software within healthcare delivery organizations. Him and his team have published in top technical, clinical, and management venues. Their work has been featured in The Wall Street Journal, MIT Technology Review, Wired, and STAT News. He has served as an expert advisor to national organizations, including the American Medical Association, AARP, American Board of Family Medicine, White House Office of Science, Technology, and Policy, and National Academies of Medicine. In 2024, he was nominated by the Government Accountability Office to serve as a member of the Health Information Technology Advisory Committee (HITAC). Also in 2024, he testified before the US Senate Finance Committee during a hearing titled ‘Artificial Intelligence in Health Care: Promise and Pitfalls.” He serves on the board of Machine Learning in Healthcare (MLHC), the premier computer science conference exclusively dedicated to healthcare. He was named a STAT Wunderkind in 2020 for his efforts to responsibly build and integrate AI into clinical practice. He obtained his MD and Masters of Public Policy at Duke University as a Dean’s Tuition Scholar and his Bachelor’s of Science in Mathematics from UCLA, where he was awarded the Charles E. Young Humanitarian Award, the top honor for community service.

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