Speaker Profile

M.D., President, Mayo Clinic Platform

Biography
Dr. John D. Halamka, M.D., M.S., is an American business executive and physician. He is president of the Mayo Clinic Platform, a group of digital and long-distance health care initiatives. Trained in emergency medicine and medical informatics, Halamka has been developing and implementing health care information strategy and policy for more than 25 years. He specializes in artificial intelligence, the adoption of electronic health records and the secure sharing of healthcare data for care coordination, population health, and quality improvement. In 2020, Halamka was elected to the National Academy of Medicine (NAM). Prior to his appointment at Mayo Clinic, he was chief information officer at Beth Israel Deaconess Medical Center. He is a practicing emergency medicine physician. As the International Healthcare Innovation Professor at Harvard Medical School, Halamka helped the George W. Bush administration, the Obama administration and governments around the world plan their health care information strategies.

Talk
The Breadth and Depth of Trustless Data Sharing Technology
This session brings together two sides of the data sharing innovation landscape – technologists and traditional healthcare systems. The group will discuss the breadth and depth of the impact data sharing technologies will have for insurers, digital health companies, and traditional healthcare systems seeking to innovate and push precision medicine forward.


 Session Abstract – PMWC 2022 Silicon Valley


The value of data in healthcare is undeniable and realized when raw information is successfully converted into knowledge that changes clinical practice. To drive value improvements and ensure that the right patient receives the right care requires the right data in combination with the right data analytics. This session will cover various aspects and challenges of data science in hospitals and health systems that drive healthcare with better outcomes.

Sessions:

  • Data Sharing Application: Needs, Advancements, and Challenges
    - Russ Cucina, UCSF
  • Removing Data Sharing Barriers; Expectations for the Healthcare Industry
    Session Chair: Greg Storm, TripleBlind
    - John Halamka, Mayo Clinic
    - Bob Borek, Datavant
  • Next-Generation Data Sharing: Discoverable, Accessible, Interoperable Data (PANEL)
    Session Chair: John F. Kalafut, Asher Orion Group
    - Joel Sevinsky, Theiagen Genomics
    - Ittai Dayan, Rhino Health
    - Sharmila Majumdar, UCSF
    - Rajan Wadhwa, Anthem
  • Sustainable Data Systems via FAIR Data Principles
    Session Chair: Alex Sherman, MGH
  • Multi-Factor Data Science to Inform Clinical Research
    Session Chair: Charlotte Nelson, MATE Bioservices
    - Gundolf Schenk, UCSF
  • Translational AI: Innovation to Clinical Implementation and Reimbursement (PANEL)
    Session Chair: John J. Sninsky, Translational Consultant
    - Erick Lin, PathAI
    - Nigam Shah, Stanford
    - Shivang Doshi, Paige
  • Leveraging Multiomic Data to Advance Rare Disease Drug Discovery and Development (PANEL)
    Session Chair: Justin Bingham, CENTOGENE
    - Michael Hund, EB Research Partnership
  • AI/ML in Hospitals and Clinics / Digital Health Transformation / Predicting Clinical Outcomes
    Session Chair: Robert Hauser, Vidence
    - Alan Kaplan, LLNL
    - Peter Yu, Hartford Healthcare
    - Amir Bahmani, Stanford
  • Data Science for Proteogenomics of Cancers
    - Gil Omenn, University of Michigan
  • PMWC 2022 Showcase
    - Amanda Cook, InheRET, Inc.
    - Calum Macrae, Harvard
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