Healthcare Analytics and Operations Management

A hands-on guide to using health care data and analytics to solve hard operations and management problems In the newly revised fourth edition of Healthcare Analytics and Operations Management: History, Diagnosis, and Empirical Foundations, Yasar A. Ozcan and Hillary A. Linhart provide practical, Excel-based solutions to real-world healthcare administration problems. They draw on their extensive experience in health administration and analytics to deliver step-by-step guidance on applying proven techniques to facility planning, staffing, scheduling, quality control, and resource optimization. The book covers predictive analytics, decision-making under uncertainty, lean management, process improvement, productivity benchmarking, supply chain management, project management, queuing models, and simulation techniques. Each chapter includes contemporary examples, detailed tables and figures, and practice exercises that demonstrate hands-on application of analytical methods. Readers may also access online resources including PowerPoint slides, exercise solutions, data sets, and Excel templates that facilitate immediate implementation of the techniques presented. This updated edition includes: Intuitive, Excel-based solutions for difficult, common health administration problems, complete with templates and analytics tools Detailed discussions of the analytics applications to make data-driven operations and management decisions Tables, figures, appendices, case studies, and practice exercises that support the material explained in the book Perfect for students taking one-semester courses in graduate and undergraduate health care management and administration programs, Healthcare Analytics and Operations Management: History, Diagnosis, and Empirical Foundations is also a must-read for practicing health care managers. An expert guide on the application of health care data and analytics to difficult operations and management problems In the newly revised fourth edition of Health Care Analytics and Operations Management: History, Diagnosis, and Empirical Foundations, a team of veteran health analytics and administration experts delivers an incisive discussion of the real-world application of health care analytics and decision support in health administration and health care management. The authors deploy contemporary examples from the field and the book provides complimentary access to online resources for professors, including PowerPoint lecture slides, chapter exercise solutions, sample curse syllabi, and health care data sets. They've also included a selection of experiential projects that demonstrate the hands-on use of the methods and concepts covered in the book. Readers will find: An intuitive, Excel-focused set of solutions to common health administration problems, complete with templates and analytical tools Step-by-step discussions of the application of analytic techniques for effective health care decision making Extensive tables, figures, appendices, and practice exercises to support the material explained in the book Perfect for students of one-semester courses in graduate and advanced undergraduate health care management and administration programs, Health Care Analytics and Operations Management is also a must-read resource for practicing health care managers seeking a hands-on guide to solving common challenges in the field.