The Enterprise Data Governance Evolution: Positioning Your Organization at the Cutting Edge of Data Quality Improvement

Transcription

1 Session #11 The Enterprise Data Governance Evolution: Positioning Your Organization at the Cutting Edge of Data Quality Improvement Natalie Rahming, PhD Enterprise Data Governance Program Lead, Children s Hospital of Philadelphia Adjunct Professor, Southern New Hampshire University

2 Learning Objectives Explain why enterprise data governance (EDG) is essential to informed decision making. Identify the essential elements and seven principles of effective EDG. Recognize two elements of a new approach to data use and how they support EDG. Determine how to use the Children s Hospital of Philadelphia (CHOP) approach and tools in your own organization to enhance EDG.

3 3 Poll Question #1 What stage is your organization at in the journey to effective EDG? 1) No plans for an EDG program 2) Just beginning to think about it 3) In process of rolling it out 4) Some EDG in place, but not effective 5) Robust, effective EDG in place 6) Unsure or not applicable

4 EDG will bolster CHOP s standing as the foremost leader in improving children s health by enabling the complete provision of optimal quality data for institution-wide decision making and informed action.

5 Longest living asset in an organization. It outlives people, systems, and facilities

6 CHOP strives to be the world leader in the advancement of healthcare for children by integrating excellent patient care, innovative research, and quality professional education into all of its programs. Nation s pediatric hospital. 1 st ,000 Hospital admissions. 1.2 Outpatient visits. million Inpatient beds. 12,000 Employees.

7 What Is Enterprise Data Governance? EDG: process for formalizing and guiding behavior over the definition, production, display, and interpretation of information and information-related assets. Validity Accessibility Accuracy Includes standards and policies governing: Data as a valued/strategic asset. Data management design and operation. Where data lives and who can access it. Responsibility and accountability for data. Internal and external compliance rules. Stewardship training and support. Transforming my data to our data. Transparency Timeliness Enterprise Data Governance Completeness Consistency Integrity Data governance is everyone s responsibility!

8 Why Is EDG Important? I need to be able to trust our data for decision making. What is the story behind our metrics? - Executive I want to know if other s data collection efforts and requests overlap with my team s so I can maximize productivity. - Manager Are there existing reports I can access instead of submitting and waiting on a new request? - Everyone I want to have the full picture of what data already exists out there and how certain metrics are defined and calculated. - Analyst I need to know who to contact when I have data questions or requests. - Everyone I need the ability to access data on my own and drill down to granular levels. - Clinician

9 CHOP realized that to bring together its disjointed data sources, and to standardize and improve quality and decision making, it would need to implement an enterprise data governance system.

10 Results Implemented a data stewardship model across the organization. 370 metrics certified through the governance process. EDG website usage: 1,500 visits/month. 67 unique users/month. On average, two EDG requests received per week.

11 Poll Question #2 On a scale of 1-5, how much do users trust your organization s data for the purposes of decision making and informed action? 1) Not trusted 2) Somewhat trusted 3) Moderately trusted 4) Very trusted 5) Extremely trusted 6) Unsure or not applicable

12 Adopting the Guiding Principles of EDG Data must be: Recognized as a valuable asset used to make informed decisions. Managed to follow internal and external rules and regulations. Data governance must: Introduce and support central standardization of enterprise data. Establish a balanced environment of transparency and security. Clearly define the roles of responsibility and accountability. Support proactive and reactive change management. Data governance contributors must: Practice integrity.

13 Assessing the Extent of the Problem Lack of trust in data and accountability and ownership. Inability to access disjointed, siloed data. Long wait times for data requests. Minimal knowledge of data catalog. Lack of common business vocabulary. Inexperienced users initiating data requests. Excessive time spent by analysts searching for data. DATABASES LOCAL FILES EHR DATA WAREHOUSE HR TIME & ATTENDANCE

14 Applying EDG at CHOP Establish Operating Model Organization Centralized governance. Forum, local committees. Multi-tier organization support. Strategic plan. People and Processes Subject matter expert outreach and collaboration. Stewardship model. Roles and responsibilities. Workflows and processes. Execute Asset Types Data definitions. Rules and policies. Relationships and traceability. Reference data. Data management Stewardship Follow Processes People EDG Leverage Process management Enterprise Data Governance Explorer (EDGE) Business glossary Data dictionary? Technologies Enable Policy management Issue management Monitor/Enforce Metrics, cohorts, applications, reports. Processes, workflows, documentation. Data quality issues and requests. Acknowledge good conduct and integrity. Measure success and program maturity. Change management and culture.

15 EDG Governance Structure Data governance team: Data Governance Director. Data Governance Facilitator/Lead. Data Governance Specialist. Data governance partners: Local governance. CHOP committees. Executive level Strategic enterprises Clinical and operational excellence committee. Health analytics governance committee. Tactical level: cross-business unit Data governance forum. EDG stewardship community. Operational level: business unit specific Data roles: Stewards. Sponsors. Technical owners.

16 Implementing Tools and Processes to Support EDG Introduce new approach to data use: Concept of data stewards. Formalized data stewardship roles. Create new tools to solve data quality, accessibility, and availability issues: EDGE. Business glossary. Follow People EDG Leverage Processes Technologies Enable

17 EDGE Homepage

18 What It Takes Organizational capacity. Thorough assessment and understanding. Clear vision and supporting principles. Collaboration and ongoing communication. Right metrics and measurements. Robust and effective tools to support EDG. Ease of use.

19 Key Takeaways and Lessons Learned Strike a balance between a sense of urgency and realistic patience. 1 2 Manage user expectations of timeline and deliverables. Strong data stewardship is important. 3 4 People do not understand or buy into the value of EDG initially. Managing competing priorities can be difficult. 5

20 Next Steps 1. Enable efficiency and empowerment Make EDG responsibilities a component of specific job descriptions. Build common business vocabulary. 4. Establish a functional stewardship community. 5. Grant incentives for good data conduct. 6. Develop standardized approaches. 7. Build partnerships and sustain the gains.

21 Thank You