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Navigating Data Security Challenges: Insights from Iowa Health System Vendor Panel

In this engaging vendor panel discussion featuring representatives from Iowa Health System and Dewey, Cheatem, and Howe, key insights are shared about the complexities of enterprise data management and security. Joy Grosser of Iowa Health System and John Hendricks of SecurITy, along with Tony Langenstein from Dewey, Cheatem, and Howe, address critical issues regarding data integrity, compliance, and the challenges of secure data management in healthcare. This session emphasizes the importance of understanding vendor solutions and the potential risks involved in data handling.

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Navigating Data Security Challenges: Insights from Iowa Health System Vendor Panel

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Presentation Transcript

  1. Data, Data Everywhere

  2. “Did you know” Video

  3. Vendor Panel

  4. Iowa Health System Represented by Joy Grosser

  5. Vendor SecurITy Represented by John Hendricks

  6. Dewey, Cheatem, and Howe Represented by Tony Langenstein

  7. Vendor Panel Like taking candy from a baby. Iowa Health System SecurITy Dewey, Cheatem, and Howe

  8. Vendor Panel Something doesn’t sound right with this solution. Iowa Health System SecurITy Dewey, Cheatem, and Howe

  9. Vendor Panel No need to tell IHS we sell the data as often as possible. What they don’t know … Iowa Health System SecurITy Dewey, Cheatem, and Howe

  10. Vendor Panel No legal team either. Hmmm … this gets worse with every question Iowa Health System SecurITy Dewey, Cheatem, and Howe

  11. Vendor Panel Yeah – all 3 health care customers that is. Yeah – all 3 of them I bet. Iowa Health System SecurITy Dewey, Cheatem, and Howe

  12. Vendor Panel Like taking candy from a baby. Cha-ching! $$$$$$$$ SecurITy – you had me at Hello. Iowa Health System SecurITy Dewey, Cheatem, and Howe

  13. Thank you Vendor Panel Iowa Health System SecurITy Dewey, Cheatem, and Howe

  14. Data Everywhere Panel

  15. Thank youData Everywhere Panel

  16. Enterprise Data Management

  17. Enterprise Data Management – Conceptual Diagram DataParse/ Transfer Analytics Data Warehouse Source Data Data Presentation Internal -ADT -EMRs -HIE -Finance -Quality -Other External -CMS -Payor -Other Data Mgmt Rules Assignment Data Integrity Clinical Multi-Dimensional Analysis (Finance, ACO, etc.) Financial Ad-hoc Query & Data Mining Demographic Disease Research Population Health, Disease Mgmt KPIs, Dashboards & Scorecards (Quality/Core Measures) Others Data and Information Wisdom Knowledge

  18. Enterprise Data Management • Sources • Meaningful • Frequent updates • Data Warehouse • Data controls • Secure • Data ntegrity • Data transformation

  19. Enterprise Data Management • Output • Robust, supporting many users and roles • Dashboards • Multidimensional data analysis • Disease/population management • Ad hoc queries & research • Analytics • Other

  20. BI Today at IHS • Strategy • Business Case (scope and funding) to be presented to ITGC in 2011 • BI starts today, but building out completely can take 3-5 years • Palliative Care • Center for Medicare & Medicaid Innovation (CMMI) • Disease Management • Others

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