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Healthcare Data Governance Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center
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Page 1: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

Healthcare Data Governance

Indranil Bardhan, UT DallasKirk Kirksey, UTSW Medical Center

Page 2: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

Welcome to Your New Job

Your organization has funded an enterprise-wide analytics initiative. Consultants have constructed a scalable and extensible technology architecture that will become operational in 30 days. You have been asked, by your CEO, to devise an operational governance approach for this new function. Your charge is not to oversee the technology (someone else gets this job), Your focus is data and information. Your governance solution must insure the highest levels of information functionality, timeliness, integrity, relevance, accuracy, and security for your organization’s analytic assets.

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Page 3: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

Source Systems

EDW Data Staging

ETL – Clean, Reconcile, Combine, De-dup, standardize, transform

Enterprise Data Warehouse Conformed Data Model

Load with Business Rules

BI Tools

NursingFinancial Bundles

KPIs & Dashboards, Reporting, Analytic Tools

SpecializedData Request

Physician

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Page 4: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

Data Definition Governance – Pick Your Poison

Data governance (DG) refers to the overall management of the availability, usability, integrity, and security of the data employed in an enterprise.Source: searchdatamanagement.techtarget.com/sDefinition/0…

Data governance is the practice of organizing and implementing policies, procedures and standards for the effective use of an organization’s structured/unstructured information assets.Source: www.sdn.sap.com… Data Governance: The execution and enforcement of authority over the management of data assets and the performance of data functions.Source: www.tdan.com/view-articles/5037 Data governance is the decision-making process that prioritizes investments, allocates resources, and measures results to ensure that data is managed and deployed to support business needs.Source: www.b-eye-network.com/view/8393 4

Page 5: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

The Process of Governance

GOVERNANCE SCOPEWhat is being governed? What is not being governed? Critical Components

WHO HAS INPUTStakeholders? Wide? Narrow? Related to governance style.

WHO MAKES THE DECISIONVote. Chair-person. Decision making rules

ENFORCEMENTHow are governance decisions enforced?

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Page 6: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

Data Governance Styles

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Page 7: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

Initiative Risk/Value Management

HighPriority

Approval

ApproveSelectively

ApproveSelectively

Do Not Approve

RISK

BUSINESSVALUE

Low

Low

High

High

Source: Jeffery & Leliveld, Sloan Management Review, 2004

Analytics Initiative Management involves “managing IT as a portfolio of assets to improve the portfolio performance by balancing risk and return”

Question: How do you measure IT Risk? 7

Page 8: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

Data Governance Matrix: Illustrative Example

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Page 9: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

Governance Mechanisms

IT Leadership CommitteeThis mechanism is particularly important in large, multi-business enterprises, where responsibilities for infrastructure services are both enterprise wide and at the business-unit level.Process teamsShould include IT members to better ensure that IT is leveraged when business processes are re-engineered.Business/IT relationship managersThey act as the intermediary between the business and IS, playing a critical daily two-way role by helping IS understand how the business operates and giving the business units an entry point to IS.IT CouncilsIT executives generally have overlapping memberships from IT & business units and provide focused environments for considering several levels of IT policies and investments.

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Page 10: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

Governance Mechanisms (contd.)

Architecture CommitteesThese define architectural guidelines and often involve both business and IT management. Decisions about specific technologies, though, usually reside with the IS organization.

Service-level agreements, tracking of IT projects and resources consumed, tracking the business value of IT and chargeback arrangementsThese are all mechanisms that bring a level of professionalism and discipline to managing IT services supply and demand.

Capital Approval CommitteesResponsible for evaluating and approving major capital expenditures. They use the same process and procedures to evaluate IT-related project proposals.

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Page 11: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

Some Components of Data Governance Scope Might Be…

Prioritize Source System Import

Define Standard Institutional Report Library

Evaluate and Recommend Analytic Software

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Page 12: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

Possible Architecture-DrivenGovernance Approaches

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Page 13: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

Source Systems

EDW Data Staging

ETL – Clean, Reconcile, Combine, De-dup, standardize, transform

Enterprise Data Warehouse Conformed Data Model

Load with Business Rules

BI Tools

NursingFinancial Bundles

KPIs & Dashboards, Reporting, Analytic Tools

SpecializedData Request

Physician

FEDERATED

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Page 14: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

Source Systems

EDW Data Staging

ETL – Clean, Reconcile, Combine, De-dup, standardize, transform

Enterprise Data Warehouse Conformed Data Model

Load with Business Rules

BI Tools

NursingFinancial Bundles

KPIs & Dashboards, Reporting, Analytic Tools

SpecializedData Request

Physician

CENTRALIZED

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Page 15: Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center.

For Presentation to Your CEO

1. Write (or Adopt) and explain the definition of data governance you will adopt in your new role.

2. Describe the Top 5 most important internal (analytics function only) components of scope for governing the organization’s new analytic function. Explain the implications of NOT effectively governing these components.

3. Describe the Top 5 most important external (outside the new analytics function – things affecting other business units) components of scope for governing the organization’s new analytic function. Explain the implications of NOT effectively governing these components

4. Recommend a governance structure/organization and governance style(s) for your organization’ new analytic function.

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