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StrataRx John Freedman MD MBA October 16, 2012

Explore the impact of All Payer Claims Datasets on public health, providers, and patients. Learn about the transformation in healthcare, steps in the process, and why APCDs are essential for informed decision-making and quality improvement.

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StrataRx John Freedman MD MBA October 16, 2012

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  1. All Payer Claims Datasets:Big Data is Coming to Public Health Officials, Providers and Patients Near You StrataRx John Freedman MD MBA October 16, 2012

  2. Health Care Transformation - Before • Focus on the individual patient in front of you • Physician autonomy is paramount • All else being equal, more is better • Physicians make the decisions • Money has no place in the conversation • Valued tools: • Patient chart • Physician knowledge and experience • Well-equipped facilities

  3. Health Care Transformation - After • Population health management • Patient autonomy is paramount • All else being equal, less is better • Physicians guide patients to their decisions • Money has a limited place in the conversation • Valued tools: • Electronic health data • Learning systems • Physician analytic and interpersonal skills • Well-equipped facilities

  4. Steps in the Transformation • IT infrastructure • Payment reform • Transparency • Workforce education & training • Evidence-based medicine • Access, analysis and distribution of health information

  5. All Payer Claims Dataset • An aggregation of data files – including eligibility records plus medical and pharmacy claims – compiled from multiple health benefits payers • First statewide APCD created in Maine in 2003 5

  6. What Do Claims Tell Us? • What was done? • When? • For whom? • By whom? • Then what happened? • What did it actually cost?

  7. Why an APCD? • Rich information for health policy • How does spending differ by location? Patient mix? • What are the trends in disease prevalence? • What are the trends in treatment choices? • How do disease, treatments, outcomes, etc. vary from region to region? By gender? By type of insurance coverage? By provider? • Which providers are better/worse in quality and cost? • Support for performance improvement • Transparent reporting of provider and payer results • Data set can be used by providers to drive their QI efforts 7

  8. Why an APCD (Cont’d) • Support for informed consumer choice • Where should I be treated? • What will it cost? • Powerful data for researchers • Policy research and clinical research 8

  9. National Map of State APCDs 9 Source: APCD Council www.apcdcouncil.org 10/10/2012

  10. Examples • Leading causes of illness and hospitalization • Rates of accidents, infections and cancer • Geographic differences in incidence of diseases, such as diabetes or heart disease • Ethnic, gender or socioeconomic variations in illness • Most expensive diagnoses and procedures • Role of prevention on illness and costs 10

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  12. Antidepressant Use in Utah Utah Atlas of Health Care, Sept. 2010

  13. Distribution of Antidepressant Use Utah Atlas of Health Care, Sept. 2010

  14. Source: VT Healthcare Claims Uniform Reporting & Evaluation System

  15. 30-Day Readmission Rates Source: VT Healthcare Claims Uniform Reporting & Evaluation System

  16. 16 NHHealthCost.org

  17. 17

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  19. APCD Data Sources • Commercial (private) carriers • Medicaid • Medicare • Uninsured • Dental • Pharmacy 19

  20. Privacy • Patients • HIPAA as minimum • Providers • Reputation • Proprietary information • Payer protections • Reputation • Proprietary information 20

  21. Links to Other Data and Initiatives • Quality – CMS, state reports, regional collaboratives • Vital statistics – to assess mortality rates • Hospital Discharge Datasets – for additional data detail and measures • Health Information Exchanges – integrate claims and clinical (EMR) data • Health Insurance Exchanges 21

  22. National Collaboration • APCD Council (state and national data users), America’s Health Insurance Plans, and national data standards organizations (ANSI X12, NCPDP) • Supported by the Commonwealth Fund and AHRQ • “Harmonization” to reduce work involved • Allow data sharing across states • Long term goal of creating a national standard 22

  23. Limitations of APCDs • Based on claims data • Not real-time • Completeness and accuracy • Alternative payment arrangements • Cost • Implementation and ongoing operating expenses • Still lacks a clear business model • Access • Variable limits on access to data • Comparability between states • Harmonization will improve comparability 23

  24. Trends and Future Directions • Power and complexity are about to explode • Better understanding what we do and the effects that it has will make a bigger difference to health than more data about specific individuals 24

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