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SOUTH CAROLINA DHHS

SOUTH CAROLINA DHHS. July 29, 2012. CHIPRA Learning Collaborative. AGENDA. Introduction Truven Name Change Truven Role in CHIPRA Project Data Updates & Findings Next Steps Questions & Discussion. TRUVEN HEALTH ANALYTICS Formerly the Healthcare Business of Thomson Reuters.

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SOUTH CAROLINA DHHS

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  1. SOUTH CAROLINA DHHS July 29, 2012 CHIPRA Learning Collaborative

  2. AGENDA • Introduction • Truven Name Change • Truven Role in CHIPRA Project • Data Updates & Findings • Next Steps • Questions & Discussion

  3. TRUVEN HEALTH ANALYTICSFormerly the Healthcare Business of Thomson Reuters Our Singular Mission:We integrate complex healthcare data and combine it with powerful analytics to measure performance and improve the efficiency and outcomes of healthcare services. 2,100 Employees in offices across the US Ann Arbor Denver/Greenwood Village Durham Chicago Boston Washington DC Sacramento Santa Barbara St. Louis Philadelphia Nashville Milwaukee Atlanta Eagan/Minneapolis New York City

  4. STATE MEDICAID CUSTOMERS NH ME ME WA VT AK ND MT MA MN OR NY WI SD RI ID MI WY PA CT NJ IA OH DE NE NV IN IL DC WV HI UT VA CO CA MO MD KS KY NC TN SC OK AR AZ NM MS GA AL LA TX FL DW/DSS: GA, KS, ND, MO, NE, NH, NV, OH, SC (ID , ME and NC in implementation. New system being installed in ND) SURS/FADS: AK, GA, IL, LA, ND, MD, MI, MO, MS, NE, NH, NJ, NV, NY, OH, SC, WV, VA (ID,ME and NC in implementation) State Medicaid Customers

  5. TRUVEN INVOLVEMENT IN CHIPRA • Analyze Data Requirements for Quality Measures • Assess quality metric reporting requirements • Work with CareEvolution, SCDHHS and practices to ensure relevant clinical data is available at point of care • Provide quality metric input and ranking based on data availability • Data Management/Technical Expertise • Work with CareEvolution to develop edge adapters to Decision Support System (DSS) • Adapt DSS to accept EHR data from providers (data model) • Provide initial data assessments • Calculate Quality Metrics • Reconcile specifications with data availability (adjust or note) for baseline and ongoing reporting • Develop final quality measures in DSS • Maintain continual feedback with providers on metric calculations • Report on Quality Metrics • Work with providers and stakeholders to design user-friendly reports that provide data to improve practice population’s health status • Determine final format for report delivery to stakeholders

  6. CHIPRA – LEADING EDGE OF USING DATA We are on the forefront of the movement toward leveraging HIE technology to integrate clinical data from EHRs with administrative data from claims and encounters: the result is powerful new insights into performance measurement.

  7. DATA UPDATES Data Receipt Updates Data Findings Update Missing administrative data impacting 3 measures (e.g., no pharmacy or revenue codes) EMR data not reflecting diagnosis or procedure coding Eligibility data only available for Medicaid population Wide variation in data entry process across practices Dates of birth (impacts age) Multiple Patient IDs (overstates population counts) Diagnosis and procedure documentation (impacts measure calculations • Working with CareEvolution • Received initial data files for 3 practices • Data includes EMR data, administrative claims data and Medicaid eligibility • Administrative claims data includes: • Medicaid Claims (Fac, Prof, Rx) • UB92 Claims (Medicaid & Non-Medicaid)

  8. PROVIDER REPORTING SAMPLE

  9. NEXT STEPS • Work with CareEvolution on: • Receiving replacement data for 3 practices to address data quality improvements • Discussing data quality findings • Preparing to receive 4 new practices by August 31st • Assess Data Quality to: • Identifying data issues that impact measures • Developing measure specification modifications to minimize impact of data issues • Providing initial data assessments to practices in Fall 2012 • Developing Practice-level Reports by: • Finalizing report template • Creating initial reports for practices with data submission

  10. QUESTIONS & DISCUSSION

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