Bruce D. Greenstein, Chief Technology Officer, U.S. Department of Health and Human

Transcription

1 Bruce D. Greenstein, Chief Technology Officer, U.S. Department of Health and Human

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3 The U.S. Department of Health and Human Services (HHS) is the nation's principal agency for protecting the health of all Americans and providing essential human services. The Department includes CMS, CDC, FDA, NIH, AHRQ, HRSA, SAMHSA ~ 79,540 employees About HHS The Office of the Chief Technology Officer, located in the Immediate Office of the Secretary, provides leadership and direction on data, technology, innovation and strategy across the Department of Health and Human Services Source: hhs.gov

4 The Office of the Chief Technology Officer Data Insights Institute - putting health and human services data to use to generate health and human service insights t Business Optimization - addressing HHS business challenges with talent and technology Industry Partnerships - driving partnerships across the private sector, industry, health care innovators, and HHS Health Innovation Strategy- Providing trusted leadership and council on innovation strategy across the department IDEA Lab Driving solutions to saving the Department time and money

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6 Commitment to Open Data

7 Get Better Insights from Better Data- HHS ReImagine Initiative Will establish HHS-wide data governance to generate efficiencies and improve analytical capabilities More effective ways to utilize finite resources and attack big problems For example, SAMHSA and the CDC provide millions to support programs addressing mental health and substance use disorder Help to create an environment where data on performance can be matched across agencies to produce outcomes Source: hhs.gov

8 Enterprise Data Strategy- Why?

9 Building an Enterprise Data Strategy at HHS Lead the Department s efforts to use data to drive evidence-based policy decisions Begin with identified strategic priorities: Opioid Epidemic Data assets assess data assets and tools Develop roadmap understand cultural, legal and technical steps required to connect data for insights Data governance procedures and execution plan for data integration Data use agreements -- institutional starting point for easier data sharing Technical platform data sharing architecture Demonstrate rapid ROI for Strategic Priorities

10 Impact on Medicaid and behavioral health in communities States Medicaid Health Plans Families & Communities

11 MACBIS Programmatic Pillars The 4 Functional Areas of MACBIS Pharmacy Medicaid Drug Program (MDP) Program (MACPro) Financial (MACFin) Operational (T-MSIS) 11

12 T-MSIS Operational Data Overview As Is - Former 200+ elements Quarterly Submissions Poor Data Quality Limiting Data Analytics Lack of data integration State accessibility To Be - T-MSIS 600+ Elements 3 new files (Managed Care, Provider, TPL) Monthly Submissions Data Validation Requirements Access to operational dashboard for validation results Robust Data Analytics MACBIS data integration State access national data integration

13 T-MSIS Progress 48 states live and in-production representing 96% of the Medicaid population Developing T-MSIS data products for analytics Working with states one-on-one to improve quality of their state submissions

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15 Data Analytics Leading the analysis and dissemination of Medicaid and CHIP data for the purposes of program monitoring, policy implementation and the improvement of health care at lower costs Improved use of data allows to drive towards better healthcare outcomes Share Data Current Area of Focus T-MSIS Use Data Improve & Enhance Data

16 T-MSIS Challenges and Opportunities Challenge State variables inhibit progress Resource capacity, budget and complexity of state systems New Data Set - State Data Quality Opportunity Reduce Reporting Burden on States Robust Analytics Ahead

17 Creating the Roadmap Code-a-thons Identify a problem or specific priority Identify data assets from HHS (CMS, SAMHSA, etc.) that can be used to understand or address the problem Assess the value and use of the data - how is it currently used and how can it be used? Assess programmatic constraints on data sharing and begin a framework for data governance Establish data use agreements (when needed) and acquire technical skills for data integration and analysis

18 Pleased to announce; Opioid Symposium & Code-a-Thon Dec 6 th & 7 th, 2017 in Washington, D.C. First opening to connect high value HHS data sets relevant to agencies work on the Opioid Epidemic Connecting multi-level data The impact of non-health data on health metrics: DOL, CB, DOT, DOJ States: Vital records, ED data, diversion data Outcome: Data-driven actionable solutions

19 Startup Day (Mid January)

20 Try to Keep Up hhs.gov/idealab

21 Questions? s?