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Health Data Utility and Innovation: Dependability of Data vs. Excitement of AI – A Tightrope Walk

  • Writer: Rajib Ghosh
    Rajib Ghosh
  • Nov 11, 2024
  • 1 min read

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Published November 11, 2024 in Healthcare Analytics


I recently returned from a conference in Detroit, Michigan, that was created around healthcare data and getting to action. The organizers’ mission was to bring together the diverse collaborators of healthcare and social care data contributors, data exchange infrastructure operators, government officials, technology products and consulting companies to share collective stories of successes, challenges, optimism and future road maps. It was a great experience because the discussion did not circle the traditional healthcare data exchange alone. It went beyond to understand consumer consent, legal and governance framework, innovation guardrails and, most importantly, highlight the individual’s “whole-person view” when considering health. (I wrote about this movement in my last column.) Let me build on that here, as this is the next chapter of that discussion. But before I go into it, I need to explain a few concepts to some of my readers unfamiliar with the healthcare data exchange terminology.


 
 
 

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