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The Case for the Knowledge Grid

The Case for the Knowledge Grid. Charles P. Friedman, PhD Josiah Macy, Jr. Professor Chair, Department of Learning Health Sciences Professor of Information and Public Health University of Michigan June 7, 2017. Disclosure.

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The Case for the Knowledge Grid

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  1. The Case for the Knowledge Grid Charles P. Friedman, PhD Josiah Macy, Jr. Professor Chair, Department of Learning Health Sciences Professor of Information and Public Health University of Michigan June 7, 2017

  2. Disclosure Friedman is the past chair, and a member of the Interim Steering Committee, of the Learning Health Community: a grassroots not-for-profit organization.

  3. Inspiration • People are naturally drawn to visionary ideas that stimulate imagination • Transformation begins with a Big Idea • The Learning Health System= a “Big Idea” that attracts people and opens doors

  4. The Big Idea: A Health System That Can Learn & Improve • Every participating patient’s characteristics and experience are available to learn from • Best practice knowledge is immediately available to support decisions • Improvement is continuous through ongoing study • An infrastructure enables this to happen routinely and with economy of scale • All of this is part of the culture

  5. The LHS Learnsand Improves through “Virtuous Cycles” of Study and Change Interpret Results Analyze Data Tailored Messages Assemble Data Take Action Record Actions

  6. The LHS Connects Discovery to Practice Better Health = D2K + K2P + P2D

  7. Better Health Requires This

  8. Not This Journals

  9. Easy to Talk About…Much Harder to Do

  10. Managing Knowledge: One of the Biggest Challenges K • Knowledge is the result, that an informed community considers significant, of an analytic and/or deliberative process • Knowledge connects D2K and K2P • To enable this connection, knowledge must be represented in a persistent form: • A prediction equation • A practice guideline

  11. So If We’re Going to Do This

  12. And Not This Journals

  13. We Need a Better Way Than Journals to Represent Knowledge Journals

  14. We Need to Represent Knowledge in Computable Forms

  15. So Advice to Inform Decisions Can be Computed and Customized Knowledge 12345698271 Data Activator Message Informed Decision

  16. And There’s More to This Story • If we can persist knowledge in computable forms • We can store it in digital libraries • Enabling it to be shared in an ecosystem • And support health improvement at any level of scale

  17. We Can Achieve Knowledge FAIRness Making Knowledge: Findable Accessible Interoperable Reusable FROM: https://www.force11.org/group/fairgroup/fairprinciples Learning Health Sciences

  18. Enter… The Knowledge Grid

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