How Modeling Can Inform Strategies to Improve Population Health: Workshop Summary

In April 2015, The Institute Of Medicine Convened A Workshop To Explore The Potential Uses Of Simulation And Other Types Of Modeling For The Purpose Of Selecting And Refining Potential Strategies, Ranging From Interventions To Investments, To Improve The Health Of Communities And The Nation's Health. Participants Worked To Identify How Modeling Could Inform Population Health Decision Making Based On Lessons Learned From Models That Have Been, Or Have Not Been, Used Successfully, Opportunities And Barriers To Incorporating Models Into Decision Making, And Data Needs And Opportunities To Leverage Existing Data And To Collect New Data For Modeling. This Report Summarizes The Presentations And Discussions From This Workshop. Introduction -- Setting The Context -- Case Studies Of Models Used To Inform Health Policy -- What Would Public Health Decision Makers Like From Models? -- Barriers And Opportunities For Using Models To Inform Population Health Interventions And Policies -- Opportunities For The Future -- Final Thoughts: Ideas For The Future -- Appendix A: References -- Appendix B: Workshop Agenda -- Appendix C: Biographical Sketches Of Workshop Speakers. Joe Alper And Amy Geller, Rapporteurs ; Roundtable On Population Health Improvement, Board On Population Health And Public Health Practice, Institute Of Medicine, The National Academies Of Sciences, Engineering, Medicine. Includes Bibliographical References. This Activity Was Supported By Contracts Between The National Academy Of Sciences And The Aetna Foundation (#10001504), The California Endowment (20112338), Healthpartners, Kaiser East Bay Community Foundation (20131471), The Kresge Foundation (101288), Mayo Clinic, Missouri Foundation For Health (12-0879-sof-12), Nemours, New York State Health Foundation (12-01708), Novo Nordisk, And The Robert Wood Johnson Foundation (70555). Any Opinions, Findings, Conclusions, Or Recommendations Expressed In This Publication Do Not Necessarily Reflect The Views Of Any Organization Or Agency That Provided Support For The Project.