Written by: Center for Care Innovations

In many ways, culture is really about language. Working in a data-driven culture means understanding and using terminology that helps us break down and talk about complex concepts and then put those concepts into action.

Chapter 1: Terms & Tools

This section aims to simplify and demystify these terms and provide a reference as we delve into more complicated issues in further sections. Here you will also find tools that will help you plan and navigate your data capacity-building journey and align your data strategy with your organizational strategy.


These “explainers” aim to define and contextualize some of the many concepts in managing data and making the most of it as the healthcare landscape changes.

  1. What is Data Governance?
  2. What is Data Stewardship?
  3. What is Data Literacy?
  4. What is a Data Model?
  5. What is Data Density and Data Liquidity?
  6. What is Controlled (or Structured) Clinical Vocabulary?
  7. What is Risk Stratification?
  8. What is Capitation?
  9. What is Cost-Benefit Analysis?
  10. What is Value Based Payment?
Tools: Assessments & Worksheets

Assessments and worksheets to help find your starting point and map out needs and goals.

  1. Introduction to the Analytics Capability Assessment
  2. Analytics Capability Assessment
  3. Introduction to Data Strategy Worksheet
  4. Data Strategy Worksheet
  5. Data Governance Handbook: Implementing Data Management Practices in Health Centers

Chapter 2: Set Your Strategy

Lasting change in organizational culture has to start at the top. This section offers insights from thought leaders on how senior executives can tackle the big questions of making data use a central part of their organization’s strategy and goals. These videos provide thought-provoking ideas – addressing both the current state and future directions, frameworks for making decisions, ideas for how senior leaders can mobilize and incentivize all staff to treat data as the new organizational currency, and ways leaders can turn data into action.

Thought Leadership: Dale Sanders

Dale Sanders is executive vice president of product development at Health Catalyst.

  1. A Framework For Analytic Decision Making
  2. A Public Health Approach for Population Health Management
  3. The Future of Healthcare Analytics: Return on Engagement
  4. 3 Fundamental Elements of a Data-Driven Culture
  5. Data Governance for High Functioning Health Centers
  6. How To Get Started With Data Governance
  7. Right-Sizing Data Governance
  8. Barriers to Effective Data Governance
  9. Balancing Data Access with Privacy and Security
Thought Leadership: Scott Barlow

Scott Barlow is the chief executive officer of Revere Health.

  1. Six Tips for Building a Data Driven Culture
  2. Leveraging Data for Value Based Care
  3. Leveraging Data for Care Management
  4. Analytics Tools and Staffing to Build Capacity
Thought Leadership: John Weir

John Weir is a consultant for Intrepid Ascent.

  1. Landscape and Business Case for Analytics

Chapter 3: Engaging Your Team

Building a data-driven culture means bringing this work into all levels of an organization. This section provides videos from teachers and practitioners in the field, covering organizational change for outcomes improvement. You’ll also find advice on building your data services department to support the growing need for robust analytics.

Getting Buy In

Cherbon VanEtten explores how to use change management as well as data to fully engage your team and see real improvements.

  1. Three Key Systems to Accelerate Improvement
  2. 4 Tips for Engaging Everyone in Improvement Work
  3. 4 Tips for Generating Continuous Improvement
Organizational Roles
  1. Roles in a Data-Driven Organization
Organizing for Effectiveness

Learn from Baldridge Award-winning Southcentral Foundation about how to build an effective data services department.

  1. Data Services—The Baldrige Way
  2. Steps for Building a Data Services Department
  3. Prioritizing Data Services Projects
  4. Staffing Your Data Services Department
  5. The Data Mall: Something for Everyone
  6. The Customer Voice in Data Services

Chapter 4: Tactics and Technology

Data is the heartbeat of improvement science, and technology is integral to collecting, communicating and working with data. This section explores the tactical and technical issues of the data driven culture.

Data and Improvement Tactics

Improvement advisor Jonathan Merrell explores fundamental principles of using data for improvement.

  1. 3 Types of Data and Their Uses
  2. Using Run Charts to Maximize Learning
  3. Qualitative vs. Quantitative Data
  4. Using the PDSA Model for Improvement
Data Visualization
  1. 12 Tips for Data Visualization
All About Dashboards

Jerry Lassa, principal at Data Matt3rs, walks through the essentials of building and using dashboards.

  1. What are Dashboards and Scorecards?
  2. Dashboard Design Features
  3. Selecting a Dashboard Tool
  4. Who Gets (Or Uses) Dashboards?
  5. Dashboards in Action
  6. Advanced Statistical Analyses
Technology Trends

A look at the landscape of tech, tools and trends for healthcare analytics.

  1. Technical Solutions for Analytics
  2. Technical Architecture for Analytics
  3. Precise Registries for Population Health Management

Chapter 5: Analytics in Action

Healthcare organizations are using data to gain exciting new insights into cost-effective patient care. This section includes case studies from the Safety Net Analytics Program and an advanced learning series on empanelment.

Use Cases for Analytics

This section includes webinars recorded during the Safety Net Analytics Program of 2015 that discuss real-world applications of analytics emerging under new payment models.

  1. Financial Measures for Care Teams
  2. Measuring Cost of Care
  3. Transforming Patient Experience
  4. Patient Segmentation for Better Care
  5. The Power of Demographic Data
All About Empanelment

This learning series covers the essentials of empanelment, from setting up patient panels to maintaining and maximizing them.

  1. Part One: Establishing Patient-Provider Relationships
  2. Part Two: Calculating Supply and Demand
  3. Part Three: The Four-Cut Method
  4. Part Four: Adjusting Panel Sizes
  5. Part Five: Maximizing and Sustaining Empanelment



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