Analytics in Healthcare and the Life Sciences: Strategies, Implementation Methods, and Best Practices

Analytics in Healthcare and the Life Sciences: Strategies, Implementation Methods, and Best Practices

by Dwight McNeill, Thomas H. Davenport
Released November 2013
Publisher(s): Pearson
ISBN: 9780133407341

Read it now on the O’Reilly learning platform with a 10-day free trial.

O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial

Book description

Make healthcare analytics work: leverage its powerful opportunities for improving outcomes, cost, and efficiency.This book gives you thepractical frameworks, strategies, tactics, and case studies you need to go beyond talk to action. The contributing healthcare analytics innovators survey the field’s current state, present start-to-finish guidance for planning and implementation, and help decision-makers prepare for tomorrow’s advances. They present in-depth case studies revealing how leading organizations have organized and executed analytic strategies that work, and fully cover the primary applications of analytics in all three sectors of the healthcare ecosystem: Provider, Payer, and Life Sciences. Co-published with the International Institute for Analytics (IIA), this book features the combined expertise of IIA’s team of leading health analytics practitioners and researchers. Each chapter is written by a member of the IIA faculty, and bridges the latest research findings with proven best practices. This book will be valuable to professionals and decision-makers throughout the healthcare ecosystem, including provider organization clinicians and managers; life sciences researchers and practitioners; and informaticists, actuaries, and managers at payer organizations. It will also be valuable in diverse analytics, operations, and IT courses in business, engineering, and healthcare certificate programs.

Table of contents

  1. About This eBook
  2. Title Page
  3. Copyright Page
  4. Dedication Page
  5. Contents
  6. Foreword
  7. About the Authors
  8. Introduction
    1. Note
  9. Part I: An Overview of Analytics in Healthcare and Life Sciences
    1. 1. An Overview of Provider, Payer, and Life Sciences Analytics
      1. Provider Analytics
      2. Payer Analytics
      3. Life Sciences Analytics
      4. Patients Analytics
      5. Collaboration Across Sectors
      6. Barriers to Analytics
      7. Notes
    2. 2. An Overview of Analytics in Healthcare Providers
      1. Analytical Applications in Healthcare Providers
      2. The Future of Analytics in Provider Organizations
      3. Notes
    3. 3. An Overview of Analytics in Healthcare Payers
      1. Payer Analytics: Current State
      2. Maturity Model
      3. Note
    4. 4. Surveying the Analytical Landscape in Life Sciences Organizations
      1. Discovery
      2. Development
      3. Manufacturing
      4. Sales and Marketing
      5. Health Reform
      6. Conclusion
      7. Notes
  10. Part II: Strategies, Frameworks, and Challenges for Health Analytics
    1. 5. Grasping the Brass Ring to Improve Healthcare Through Analytics: The Fundamentals
      1. Delivering on the Promises
      2. Fundamental Questions and Answers
      3. Notes
    2. 6. A Taxonomy for Healthcare Analytics
      1. Toward a Health Analytics Taxonomy
      2. Drafting a Health Analytics Taxonomy
      3. Notes
    3. 7. Analytics Cheat Sheet
      1. Different Types of Analytics
      2. Analytic Processes
      3. Data Scales
      4. Sampling Techniques
      5. Data Partitioning Techniques
      6. Statistical Overview—Key Concepts
      7. Variable/Feature Selection
      8. Modeling Algorithms and Techniques
      9. Time Series Forecasting
      10. Model Fit and Comparison Statistics
      11. Notes
    4. 8. Business Value of Health Analytics
      1. Business Challenges
      2. Value Life Cycle
      3. Healthcare Analytics Value Framework: Key Drivers
      4. Validating Actionability and Measuring Performance Improvement with Key Performance Indicators (KPIs)
      5. Business Intelligence (BI) Performance Benchmarks for IT
      6. Using BI Competency Centers to Institutionalize Value
      7. Business Performance Based Approach to Value
      8. Additional Resources
    5. 9. Security, Privacy, and Risk Analytics in Healthcare
      1. Securing Analytics
      2. Providers
      3. Payers
      4. Life Sciences
      5. Risk Analytics
      6. Compliance and Acceptable Use
      7. Look to the Future
      8. Notes
    6. 10. The Birds and the Bees of Analytics: The Benefits of Cross-Pollination Across Industries
      1. Why Analytics Innovations Matter
      2. Discovery of Healthcare Adaptations
      3. Analytics Adaptations for Health and Healthcare
      4. Putting Ideas into Action
      5. Notes
  11. Part III: Healthcare Analytics Implementation Methods
    1. 11. Grasping the Brass Ring to Improve Healthcare Through Analytics: Implementation Methods
      1. Using the EHR to Achieve Meaningful Results
      2. Improving the Delivery of Care
      3. Managing the Health of Populations
      4. Adopting Social Media to Improve Health
      5. Notes
    2. 12. Meaningful Use and the Role of Analytics: Complying with Regulatory Imperatives
      1. Supporting EHR Adoption with Analytics
      2. Shifting the Quality Analysis Paradigm
      3. Driving Analytics Behaviors
      4. Anticipating the Future
      5. Conclusion
      6. Notes
    3. 13. Advancing Health Provider Clinical Quality Analytics
      1. Clinical Quality Analytics Background
      2. Next Generation Clinical Quality Analytics Solutions
      3. The Clinical Quality Analytics in Action—Case Study: Sepsis Overview
      4. Conclusions
    4. 14. Improving Patient Safety Using Clinical Analytics
      1. Introduction
      2. Background
      3. Triggers for Diagnostic Errors
      4. Triggers for Medication Errors
      5. Triggers for Electronic Health Record (EHR)-Related Errors
      6. Conclusion
      7. Notes
    5. 15. Using Advanced Analytics to Take Action for Health Plan Members’ Health
      1. Actionable Information—A Conceptual Framework
      2. Knowledge Discovery through Multivariate Analytics
      3. Conclusions
      4. References
    6. 16. Measuring the Impact of Social Media in Healthcare
      1. Why Measure at All?
      2. Working Definition of Social Media in Healthcare
      3. The Complexity of Social Media and Healthcare
      4. Who Is Involved in Each Category of Social Media Use Today?
      5. What Analytics Are Enabled Today and in the Future?
      6. Conclusion
      7. Notes
  12. Part IV: Best Practices in Healthcare Analytics Across the Ecosystem
    1. 17. Overview of Healthcare Analytics Best Practices Across the Ecosystem
      1. Providers
      2. Payers
      3. Life Science Companies
      4. Notes
    2. 18. Partners HealthCare System
      1. Centralized Data and Systems at Partners
      2. Managing Clinical Informatics and Knowledge at Partners
      3. High Performance Medicine at Partners
      4. New Analytical Challenges for Partners
      5. Centralized Business Analytics at Partners
      6. Hospital-Specific Analytical Activities—Massachusetts General Hospital
      7. Hospital-Specific Analytical Activities—Brigham and Women’s Hospital
      8. Notes
    3. 19. Catholic Health Initiatives
      1. About the Organization
      2. Current Situation
      3. Conclusion
      4. Notes
    4. 20. Analytics at the Veterans Health Administration
      1. The VA’s EMR System and Related Analytics
      2. Analytical Groups and Initiatives
      3. Quality Metrics and Dashboards
      4. Possible Future Uses of Analytics at the VA
      5. Notes
    5. 21. The Health Service Data Warehouse Project at the Air Force Medical Service (AFMS)
      1. Vision and Mission
      2. The AFMS Office of the CIO
      3. AFMS’s Modernization Challenges
      4. Analytics at the AFMS
      5. The Health Service Data Warehouse Project
    6. 22. Developing Enterprise Analytics at HealthEast Care System
      1. Assessing and Integrating Enterprise Analytics Capabilities
      2. Designing the Enterprise Analytics Organization
      3. Notes
    7. 23. Aetna
      1. History
      2. Organization
      3. Analytics Maturity Model
      4. Bellwether Lessons
      5. Notes
    8. 24. Employee Health and Benefits Management at EMC: An Information Driven Model for Engaged and Accountable Care
      1. Vision and Lessons Learned
      2. Chronology
      3. Employee Experience
      4. Partner Perspective
      5. Executive Scorecard
      6. About the Data Warehouse
      7. EMC in the Larger Context
    9. 25. Commercial Analytics Relationships and Culture at Merck
      1. Decision Maker Partnerships
      2. Reasons for the Group’s Success
      3. Embedding Analyses into Tools
      4. Future Directions for Commercial Analytics and Decision Sciences
    10. Conclusion: Healthcare Analytics: The Way Forward
      1. Analytics As We Know It
      2. The Gap Between the Cup and the Lip
      3. Overview of the Way Forward
      4. A Huge Agenda and Opportunity
      5. The Data Gold Rush
      6. Technology, The Great Enabler
      7. Making Change Happen
      8. “Be the Change...”
      9. Notes
  13. Index

Product information

  • Title: Analytics in Healthcare and the Life Sciences: Strategies, Implementation Methods, and Best Practices
  • Author(s): Dwight McNeill, Thomas H. Davenport
  • Release date: November 2013
  • Publisher(s): Pearson
  • ISBN: 9780133407341