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Date and Location

April 29, 2025
4:15 PM - 5:45 PM ET
Nye C: Taubman-520

Contact

617 495 9379
Building an AI-enabled Health System: Lessons from Hungary

Curious about the intersection of AI and healthcare? Join us for a compelling discussion on Hungary’s ambitious vision to build a data-driven, AI-enabled health system.

We’ll unpack both the threats and opportunities around unlocking AI as a systems capability in health. 

  • Gain insights into the various promises, threats data driven health brings, potential for patients, efficiency gains for systems, dangers of data colonisation and risks for solidarity based health care systems
  • Develop the digital phenotype by combining clinical, operational, genomic, and environmental data.
  • Debate the issues for privacy-preserving AI at scale
  • Explore the policy and governance implications for countries pursuing digital health transformation
  • Leverage Hungary’s case study to draw insights with global implications

This study group / discussion is open to all HUID holders. Registration is not necessary. 


M-RCBG welcomes individuals with disabilities to participate in its programs. To request accommodations or ask questions about access provided, please email: mrcbg@hks.harvard.edu

Speakers and Presenters

Miklós Szócska, M-RCBG Senior Fellow

Organizer