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

Data Quality Improvement

Natalie Rahming, PhDEnterprise Data Governance Program Lead, Children’s Hospital of Philadelphia

Adjunct Professor, Southern New Hampshire University

Session #11

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.

Poll Question #1

3

What stage is your organization at in the journey to effective EDG?

1) No plans for an EDG program2) Just beginning to think about it3) In process of rolling it out 4) Some EDG in place, but not effective 5) Robust, effective EDG in place6) Unsure or not applicable

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.

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

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.

1st

Nation’s pediatric hospital.

535Inpatient beds.

30,000Hospital admissions. 1.2

millionOutpatient visits.

12,000Employees.

Data governance is everyone’s responsibility!

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.

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.”

Enterprise Data Governance

Accessibility

Accuracy

Completeness

Consistency

Integrity

Timeliness

Transparency

Validity

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 the ability to access data on my own

and drill down to granular levels.”

- Clinician

“I need to know who to contact when I have

data questions or requests.” - Everyone

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.

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.

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 trusted2) Somewhat trusted3) Moderately trusted4) Very trusted5) Extremely trusted6) Unsure or not applicable

Adopting the Guiding Principles of EDGData 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.

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.

HR

EHR

TIME & ATTENDANCE

LOCAL FILES

DATA WAREHOUSE

DATABASES

Applying EDG at CHOPEstablish Operating Model

Execute

Monitor/Enforce

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.

Asset Types• Data definitions.• Rules and policies.• Relationships and traceability.• Reference data.

Data management

Stewardship

Process management• Enterprise Data Governance

Explorer (EDGE)• Business glossary• Data dictionary

Policy management

Issue management

Metrics, cohorts, applications, reports.

Processes, workflows, documentation.

Acknowledge good conduct and integrity.

Measure success and program maturity.

Data quality issues and requests. Change management and culture.

People

TechnologiesProcesses

EDG

Follow Leverage

Enable ?

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

Tactical level: cross-business unit

Operational level: business unit specific

Clinical and operational excellence committee.

Data governance forum.EDG stewardship community.

Data roles:Stewards.Sponsors.Technical owners.

Health analytics governance committee.

Implementing Tools and Processes to Support EDGIntroduce 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.

People

TechnologiesProcesses

EDG

Follow Leverage

Enable

EDGE Homepage

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.

Key Takeaways and Lessons Learned

Strike a balance between a sense of urgency and realistic patience.

Manage user expectations of timeline and deliverables.

Managing competing priorities can be difficult.

People do not understand or buy into the value of EDG initially.

Strong data stewardship is important.

1

2

3

4

5

Next Steps

1.Enable efficiency and empowerment.

2.Make EDG responsibilities a component of specific job descriptions.

3.Build common business vocabulary.

4.Establish a functional stewardship community.

5.Grant incentives for good data conduct.

7.Build partnerships and sustain the gains.6.

Develop standardized approaches.

Thank You