Analytics and Decision Support in Health Care Operations Management
Yasar A. Ozcan
- English
- ePUB (apto para móviles)
- Disponible en iOS y Android
Analytics and Decision Support in Health Care Operations Management
Yasar A. Ozcan
Información del libro
A compendium of health care quantitative techniques based in Excel
Analytics and Decision Support in Health Care Operations is a comprehensive introductory guide to quantitative techniques, with practical Excel-based solutions for strategic health care management. This new third edition has been extensively updated to reflect the continuously evolving field, with new coverage of predictive analytics, geographical information systems, flow process improvement, lean management, six sigma, health provider productivity and benchmarking, project management, simulation, and more. Each chapter includes additional new exercises to illustrate everyday applications, and provides clear direction on data acquisition under a variety of hospital information systems. Instructor support includes updated Excel templates, PowerPoint slides, web based chapter end supplements, and data banks to facilitate classroom instruction, and working administrators will appreciate the depth and breadth of information with clear applicability to everyday situations.
The ability to use analytics effectively is a critical skill for anyone involved in the study or practice of health services administration. This book provides a comprehensive set of methods spanning tactical, operational, and strategic decision making and analysis for both current and future health care administrators.
- Learn critical analytics and decision support techniques specific to health care administration
- Increase efficiency and effectiveness in problem-solving and decision support
- Locate appropriate data in different commonly-used hospital information systems
- Conduct analyses, simulations, productivity measurements, scheduling, and more
From statistical techniques like multiple regression, decision-tree analysis, queuing and simulation, to field-specific applications including surgical suite scheduling, roster management, quality monitoring, and more, analytics play a central role in health care administration. Analytics and Decision Support in Health Care Operations provides essential guidance on these critical skills that every professional needs.
Preguntas frecuentes
Información
Chapter 1
Introduction to Analytics and Decision Support in Health Care Operations Management
Learning Objectives
- Recognize the analytical techniques for decisions about delivering health care of high quality.
- Describe the historical background and the development of decision techniques.
- Describe the health care manager's role and responsibilities in decision making.
- Review the scope of health services and follow recent trends in health care.
- Describe health services management and distinct characteristics of health services.
- Describe the data flow in health care organizations and how to organize data for analytics.