Data-driven quality improvement and sustainability in healthcare : an interprofessional approach / Patricia L. Thomas, James L. Harris, Brian Collins, editors.

Includes bibliographical references and index.

The Footprint of Data Across Healthcare Organizations / James L. Harris -- Imperatives for Quality, Safety, And Value-Based Outcomes in a Data-Driven Healthcare Environment / Patricia L. Thomas and Brian Collins -- Selecting the Right Tools for the Job : From Idea to Execution / Patricia L. Thomas and Brian Collins -- Data as the Centerpiece of Administrative and Clinical Decisions / James L. Harris and Patricia L. Thomas -- Application of Data Science in Health Care / Patricia L. Thomas and James L. Harris -- Big Data : Understanding Its Value / Brian Collins -- Data as an Influencer of Policy and Regulation / Patricia L. Thomas and Michael R. Bleich -- Innovation, Diffusion, and Dissemination / James L. Harris -- Using Data to Build the Business Case for Change / Brian Collins and James L. Harris -- How Consumer Demands and Data Are Driving Change / Megan Williams, Lauran Hardin, Niranjani Radhakrishnan, and Patricia L. Thomas -- Data-Mining Techniques and Tools for Sustainable Outcomes / Brian Collins -- Techniques to Extract Evidence That Guide Quality and Safety / Clista Clanton -- Leading Interprofessional Improvement Teams to Use Meaningful Data / Kathryn Sapnas and James L. Harris -- A Kaleidoscope of Opportunities in a Data-Rich Biosphere : A Futuristic -- Perspective / James L. Harris.

"Data-Driven Quality Improvement and Sustainability in Healthcare : An Interprofessional Approach provides healthcare leaders and administrators of all disciplines with a solid understanding of data and how to leverage data to improve outcomes, fuel innovation, and achieve sustained results. It sets the stage by examining the current state of the healthcare landscape; new imperatives to meet policy, regulatory, and consumer demands; and the role of data in administrative and clinical decision-making. It helps the reader identify the methods and tools that support thoughtful and thorough data analysis and offers practical application of data-driven processes that determine performance in healthcare operations, value- and performance-based contracts, and risk contracts. The text also highlights common barriers and pitfalls related to data use and provide strategies for how to avoid these pitfalls. Chapters feature key points, reflection questions, and real-life interprofessional case exemplars to help the reader draw distinctions and apply principles to their own practice"-- Provided by publisher.

Description based on print version record and CIP data provided by publisher; resource not viewed.