September 9, 2013 Don Hoag Deloitte Consulting, LLP

Transcription

1 You Know You Have A Data Governance Problem When How One State Made The Upgrade September 9, 2013 Don Hoag Deloitte Consulting, LLP dhoag@deloitte.com

2 Today s Session 1. Background 2. Vision for Implementing Data Governance 3. Enterprise Data Governance Conceptual Model 4. Next Steps at HHSC 5. Questions 1

3 Background A quick discussion on where HHSC came from on data governance

4 Notable Data Challenges Provided below are notable HHS Enterprise Data Challenges described by participants of the Data Governance sessions. 1 Ownership & Accountability There is a lack of formal ownership and accountability for managing the quality of data across the enterprise. Where this exists, it is not communicated effectively. 2Standards Multiple addresses for members collected across the enterprise. Which address should I use? Who owns the Encounters, Claims, Eligibility, Drugs, Long Term Care, Medicaid Transportation Program data? for Medicaid Data Each system maintains their own standards for data capture resulting in complex transformations, poor quality of data, increased time to integrate, and low interoperability. There is a general lack of standards across the enterprise for Medicaid data. 3 Inadequate Data Quality Checks Insufficient data quality methods for monitoring data violations, limited validation mechanisms at the point of entry, and a lack of data ownership cause incomplete and inaccurate data across the enterprise. Member, Client, Patient, Recipient Are they the same thing? 4 Inconsistent 56 year-old adolescent, pregnant male, receiving CHIP 3,000+ Members are 112 years old Terms and Definitions With varying realms of responsibility, systems have defined terms for their application s purposes that may not correspond to an enterprise view of that data. This results in time spent reconciling definitions between systems to do common functions such as matching Members. There is no single source for enterprise-wide data definitions. 3

5 Vision for Implementing Data Governance A method to plan and implement necessary data controls

6 Mission, Goals, and Objectives HHSC defined the following as the strategy for the program Mission Establish an enterprise-wide data governance framework to facilitate improved services, planning, and policy implementation across the HHS Medicaid Enterprise. Goals Alignment with MITA business processes Procedures and policies for improved quality, timeliness, and reliability of Medicaid data Data Governance framework to support various Medicaid functions Guidelines for data interoperability and data sharing across HHS agencies Holistic view of an entity across HHS programs Objectives Create a formal organization and processes to effectively manage and control information assets across HHS Medicaid Enterprise Establish Medicaid Enterprise Data Governance Strategic Roadmap Establish roles and responsibilities for data stewardship and data quality Prepare data definition and standards for data entities common across programs Improve operations by increasing the reliability of critical data for internal analyses 5

7 Enterprise Data Governance Benefits The following actions were taken to derive benefits for HHSC Actions Create a formal organization and processes to effectively manage and control information assets across HHS Medicaid Enterprise Benefits Improved enterprise data management and enhanced business benefits, focusing on an enterprise view of Medicaid data Prepare data definitions and standards for data entities common across programs Enhanced data quality across the enterprise and consistent reporting Improve operations by increasing the reliability of critical data for analyses Increased availability of high integrity data and reduced data redundancy Establish roles and responsibilities for data stewardship and data quality control Better accountability for data use and less redundancy efforts Establish Medicaid EDG Strategic Roadmap Increased collaboration, sharing and communication of business data 6

8 Enterprise Data Governance Conceptual Model A working concept of implementing data governance

9 Enterprise Data Governance Conceptual Model Conceptual View of Data Governance for the HHS Enterprise HHSC DADS DFPS DSHS DARS Administration oversight to HHS Programs Medicaid, CHIP, TANF, SNAP, Family Violence Services, Refugee Services, Eligibility Determination Policy Development and Rule Making Fraud and Abuse protection and detection Border Affairs Early Childhood Coordination Comprehensive array of services to Aging and people with Disabilities Long Term Care services Licensing, certification and enrollment of providers Regulating the providers Indirect administration of services Outreach ANE prevention and protection Provide protective services for children, elderly and people with disabilities Prevent abuse neglect and exploitation Adult protective services Child protective services Child care licensing Prevention and early intervention services Improve health and wellbeing in Texas Vital records management Mental health and substance abuse programs Disease prevention and protection Health services Licensing and regulation of food, drugs, chemicals Health Statistics Administers programs to rehabilitate people with disabilities and provide assist families with children having developmental delays Disability Determination services Rehabilitation Services Blind Services Early childhood intervention programs Medicaid Business Areas Business Relationship Management Care Management Contract Management Plan Management Eligibility and Enrollment Management Member Management Operations Management Provider Management Performance Management Finance Management Medicaid Data Governance Organization Data Governance Council Data Stewards Data Owners Policies and Process Guidelines and principles for enforcing data standards Technology Solutions for common information exchange, workflow processes Architecture Business Information Model Metadata Dictionary Privacy and Security Compliance Measure the data management performance Actions to improve adherence Data Quality 8

10 Implemented Organizational Design Realized Organization of Data Governance for the HHS Enterprise Authority and empowerment for the organization is essential to fostering the growth and development of the Data Governance Organization. 9

11 Next Steps at HHSC A look to the future of Data Governance within the organization

12 Next Steps at HHSC Where HHSC will go from here Subtitle 11

13 Questions

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