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Arizona Connected Care Data & Analytics

Arizona Connected Care, led by CIO Michael Griffis, embodies a pioneering Accountable Care Organization (ACO) model focused on clinical integration between independent practices and healthcare facilities. With a growing network of over 200 clinicians, including 150+ primary care physicians and partnerships with Federally Qualified Health Centers (FQHCs) and Optum, it aims to enhance patient care through programs like the Medicare Shared Savings Program. The initiative faces challenges with variable EMRs and infrastructure, but leverages analytics and technology to measure performance, identify opportunities, and improve chronic disease management.

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Arizona Connected Care Data & Analytics

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  1. Arizona Connected CareData & Analytics Michael Griffis CIO, Innovative Practices

  2. About Arizona Connected Care • An ACO model emphasizing clinical integration between independent practices and facilities. • Tucson Medical Center aligned with more than 200 clinicians (number is growing) • 150+ primary care physicians • 3 FQHCs • Specialty physicians • Strong Partnership with Optum • Current Programs • April 1st Medicare Shared Savings Program • United Medicare Advantage Gain Share

  3. Arizona Connected Care Chosen for its Unique Attributes/Challenges • Attributes • An ACO respecting individual practitioners • A belief that independent identity has value and should be encouraged • Challenges • Variable EMRs • Variable infrastructure • Variable process and procedure

  4. Arizona Connected Care Programs Transformation Care Coordination Contracts Practice Improvement Population Metrics / Monitoring Chronic Disease Mgmt Care Transitions Care Advocacy Analytics Information Technology Performance Data Trends / Predictive Standard Assessments Quality DATA Connectivity Data Analysis Tools Communication Tools Documentation Tools Home Monitoring

  5. What we need from Analytics Technology • Measure our performance • Identify areas of opportunity • Predict our trends • Create actionable intelligence at point of care • Facilitate data transparency

  6. Focus • High Risk / High Cost Claimants • Chronic Disease Registries • Diabetes, CHF, etc. • Hospital Readmissions / Frequent Flyers • Beneficiary / Member Attribution • Quality Measures

  7. Tools & Technology • Impact Analytics Suite • Performance • Predictive • Evaluating Data Warehouse Strategy • Desktop Applications

  8. Selected Challenges • Current tools designed for the payor market • Combining quality / performance data across multiple disparate systems • Learning to think like an actuary

  9. Thank you

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