Health Care AI Symposium

Maryland Health Care Commission

Advancing Equitable, Ethical, and Responsible Use of AI

Welcome to MHCC’s Health Care AI Symposium! AI is shaping the future of health care in exciting new ways. Advancing innovation of AI-enabled technology requires navigating its complexities with care and foresight to ensure fairness, reliability, privacy and security, and trust. The presentations that follow feature a distinguished group of health care professionals, scholars, and innovators discussing ethical, legal, and practical considerations for advancing the secure integration of AI in health care. A special thanks to the presenters for sharing their perspectives and experiences on the current and future use of AI in health care.

Presentations

Health Care AI: An Evolving Regulatory Landscape

Lauren Jones, Surescripts
Dr. Eman Elashkar, George Mason University

Explore the legal landscape of AI in health care and emerging state legislative themes. Presenters share examples on balancing innovation and risk in the absence of comprehensive federal legislation.

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Securing Tomorrow: AI Security

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Ryan Patrick, HITRUST

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Learn about growth in AI adoption and important security considerations for health care organizations to proactively manage risk, including evolving standards and frameworks that aim to promote responsible AI development and deployment.

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Innovating for the Future: Perspectives on Harnessing AI to Optimize Payer Operations

Bob Heyl, CareFirst BlueCross BlueShield

Hear how a payer is advancing the use of AI to improve operations and create more personalized and efficient experiences for its members. The presenter discusses a framework for responsible AI principles, policies, and practices to manage risks while enabling innovation.

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Operationalizing AI to Support Care Delivery: Advancements and Challenges of AI and Crucial Considerations for Responsible Implementation

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Josh Newman, Johns Hopkins Health System
Dr. Joel Klein, University of Maryland Medical System
Dr. Nathan Cobb, MedStar Health
Dr. Marc Rabner, CRISP

Listen to a panel discussion on how hospital health systems are approaching the use of AI-enabled technologies from use case development, governance, cybersecurity, provider acceptance, and vendor risk management.

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A Survey of AI Incidents and Malpractice

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Patrick Hall, HallResearch.ai/
George Washington University

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Explore real-world AI incidents and how an open, searchable database can improve AI system design and risk management across sectors. Learn how to assess vendor claims about AI system performance to inform the deployment of safer and more accountable AI.

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AI Security Demystified: A Pragmatic Guide to Risk Management

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Arun Pamulapati, Databricks

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Recognize how AI presents unique challenges beyond conventional security measures. Learn how to align AI security and governance with organizational goals, incorporate risk mitigation strategies, and apply security frameworks to ensure AI systems are developed and implemented responsibly.

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Technology Vendor Perspectives: Navigating AI Value and Risks

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Dr. Michael Blackman, Greenway Health
Stephanie Jamison, Greenway Health
Dr. Stephen Speicher, Flatiron Health
Dr. Colin Banas, DrFirst

A technology vendor panel shares perspectives on integrating AI-enabled technologies to improve care delivery, patient experience, and operational efficiency. Panelists discuss the importance of transparency regarding the use of AI, provider education, and risk management.

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AI for Health Equity: Leveraging Big Data and Machine Learning to Investigate Health Disparities

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Dr. Thu Nguyen, University of Maryland School of Public Health

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Learn how academic researchers use AI to advance health equity research, including human-centered analyses that incorporate qualitative data to validate AI-driven findings.

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Speakers

Lauren Jones

Senior Privacy & Data Protection Counsel
Surescripts