It seems that AI has applications everywhere in healthcare. But some applications may be better than others.
That is certainly what Dr. Michael Dulin has discovered in the field of public health.
A nationally recognized leader in health information technology and the application of analytics and research to improve care, Dulin draws on his years of experience on the front lines to explain how public health should work.
As director of the Academy for Population Health Innovation at the University of North Carolina at Charlotte, he is one of the nation’s leading authorities on population health. And AI is increasingly part of his work.
Dulin joins us this week on HIMSSCast. We discuss AI advancing the integration and curation of complex data needed for population health initiatives, AI being used to assess disease burden and risk for population health planning, CIOs and other health IT leaders and clinicians using AI to predict changes in population health needs over time, and much more.
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Discussion points:
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How can hospitals, health systems, and researchers use AI to improve the integration and curation of complex data needed for population health initiatives?
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How can AI be used to assess disease burden and risk for public health planning?
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How can CIOs, other healthcare IT leaders, and clinicians use AI to predict changes in population healthcare needs over time?
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How can AI be used to support the development and deployment of public health interventions, for example through tailored messaging?
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What about patient-centric AI? How can AI be used as a tool to improve patient engagement in their own effectiveness?
More about this episode:
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AI plays a role in the patient intake process
What’s the difference if a doctor and an AI app both have 95% accuracy?
How AI Can Improve Cancer, Depression, and Perioperative Care
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Send him an email: bsiwicki@himss.org
Healthcare IT News is a publication of HIMSS Media.