Performance Management with your Business Intelligence Competency Center (BICC) Jason Oliveira, MBA

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1 Performance Management with your Business Intelligence Competency Center (BICC) Jason Oliveira, MBA DISCLAIMER: The views and opinions expressed in this presentation are those of the author and do not necessarily represent official policy or position of HIMSS.

2 Conflict of Interest Disclosure Jason Oliveira, MBA Has no real or apparent conflicts of interest to report HIMSS

3 Learning Objectives 1. Recognize several of the unique realities of complex health organizations that complicate their pursuit for enterprise information management and analytics strategies 2. Identify three governance and services organization models that health systems can consider 3. Discuss the fit criteria that can be used to decide which model is best for an organization 4. Illustrate a case study of one complex healthcare provider s journey to redesign its data governance and services organization

4 Constituencies Public Services Performance Improvement Nurses Health Information Management Data submission, HIM operational reporting School of Medicine - Cores Biostatistics, Genomics center, Bioinformatics, CTSA Office of Chancellor Research Principle Investigators Quality Outcomes Management Public Reporting, Performance Measures, Clinical Guidelines Clinical Trials Support Services, Office of Sponsored Programs GCRC CTSI Institute for bioinformatics, GCRC Informatics core, subject safety Service Line Leaders Finance - Decision Support Cost Accounting, Financial Analysis, Patient Data ad-hoc Research Administration Compliance, IRB Finance Faculty Practice Administrators Dermatology Resident? Nursing Informatics Magnet Nursing measures Information Technology Data integration, data ad-hoc requests, Information Security Policies, procedures, access control Financial Analysis, P&L, Financial data ad-hoc requests Clinical Centers/Sections Perioperative, Heart, Cancer. PICU, Pathology, Pharmacy, Lab, etc. Faculty Practice Group Faculty Plan Productivity, Revenue Analysis, Managed Care analytics

5 The myth of self-service Integrating across research and patient care missions Finance as the center of the decision support world 50 chefs in the kitchen But I already have a Steering Committee!

6 There are four tiers of services that are universal whatever the model of organizing your BI governments. Strategic Executives, Leaders, Strategy Tactical Data Governance Operational Application Architecture Data Architecture Reporting and Analysis Informatics Privacy / Security Project Portfolio Customers, Project Management, Vendors, Solutions

7 There are three alternative BI government models that healthcare organizations can consider. Monarchy Confederacy of States Federation of States

8 The monarchy model includes a centralized and dedicated executive and resources for all analytical support services. Benevolent Monarchy Peer Executive Aristocracy Business Intelligence Executive Analytical Applications Data Architecture Reporting & Analysis Project Portfolio Customers, Project Management, Vendors, Solutions

9 The confederacy of states relies on light-touch collaborative governance through operations leaders and many tactical teams. Confederate Government C-Level Executives Data Governance Operations Leaders States Analytical Applications Analytical Applications Data Data Architecture Reporting & Analysis Projects Customers, Project Management, Vendors, Solutions

10 A federation of states blends representative governance and a small dedicated federal business intelligence services team. Executive C-Level Executives Federal Government Enterprise IT Governance Data Governance Clinical Governance Research Governance BI Services Center States Functional Teams Functional Teams Functional Teams Projects Customers, Project Management, Vendors, Solutions

11 Imperfect as it may be, a Federal BI government may be the bestfit approach for the modern healthcare organization. Best-Fit Criteria Monarchy Confederacy Federal Ensures Alignment with the States : The ability to represent, be responsive, and be the voice of disparate operations, needs, and missions Ensures Adherence to Standards and Policy: The ability to drive compliance and use of established data policy, standards, and solutions Cultural Fit: Suited for adoption by existing healthcare culture, may need to shift culture to realize full value. Systemness: The degree the model avoids conflicting, disparate, duplicative consumption of resources and effort and achieve economies of scale. Increases Enterprise BI Maturity: User information needs are serviced responsively by experts, incubation, advanced analytics, and innovation. Minimizes interference with existing structures: Degree reorganizing resources is deemed disruptive. Low High Moderate High Low Moderate Low High Moderate High Low Moderate Moderate Low High Low High Moderate

12 There are many permutations and institution-specific realities, but the core principles of federalism remain sound. IT Executive Steering Committee Admin / Finance Clinical Research Technology Oversight Data Governance Functional Teams BI Services Center Collaborate & Support Enterprise Architecture Group Data Architecture Group Clinical Informatics Analytics Teams Application Architecture Groups Bio- Informatics Core

13 There are tactical considerations that bring vision to fruition, and need to be aligned with local reality. Tactical Question Placement of the new Data Governance function? Placement of the new BI Services Center? Staffing of the new teams? Initial focus of BI Services Center? Considerations Embed in existing IT governance structures; or, Embed in existing health system business governance processes; Or something and somewhere new? Expand charter of an existing large decision support team; or, create a new team. Where should the team report CEO, COO, CMO, dual-reporting option? Largely net new recruitment to minimize disruption (but increases budget); or, Musical chairs, internal recruitment, consolidation of existing teams? Use case prioritization EDW design, training and skillsets development, implement new BI toolset, applied informatics design of EHR, Translational Research, etc.

14 Thank You! Jason Oliveira Specialist Leader

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