Alexander Kolker – författare
911 kr
Skickas inom 5-8 vardagar
1 038 kr
Läs direkt efter köp
This Briefs Series book illustrates in depth a concept of healthcare management engineering and its domain for hospital and clinic operations. Predictive and analytic decision-making power of management engineering methodology is systematically compared to traditional management reasoning by applying both side by side to analyze 26 concrete operational management problems adapted from hospital and clinic practice. The problem types include: clinic, bed and operating rooms capacity; patient flow; staffing and scheduling; resource allocation and optimization; forecasting of patient volumes and seasonal variability; business intelligence and data mining; and game theory application for allocating cost savings between cooperating providers.
Detailed examples of applications are provided for quantitative methods such as discrete event simulation, queuing analytic theory, linear and probabilistic optimization, forecasting of a time series, principal component decomposition of a data set and cluster analysis, and the Shapley value for fair gain sharing between cooperating participants. A summary of some fundamental management engineering principles is provided.
The goal of the book is to help to bridge the gap in mutual understanding and communication between management engineering professionals and hospital and clinic administrators.
The book is intended primarily for hospital/clinic leadership who are in charge of making managerial decisions. This book can also serve as a compendium of introductory problems/projects for graduate students in Healthcare Management and Administration, as well as for MBA programs with an emphasis in Healthcare.
3 512 kr
Läs direkt efter köp
3 348 kr
Skickas inom 5-8 vardagar
519 kr
Skickas inom 10-15 vardagar
708 kr
Läs direkt efter köp
The updated 2nd edition of Healthcare Management Engineering In Action in the Business Guides on the Go series provides a comprehensive exploration of healthcare management operations. Through a systematic comparison of predictive and analytic decision-making methodologies with traditional management approaches, the book employs case studies derived from real-world hospital and clinic scenarios. It addresses a spectrum of problem encompassing patient flow, capacity management, resource allocation, staffing and scheduling, statistical data analytics, and cost distribution among cooperating providers.
The revised edition contains enhanced content, spotlighting key management principles vital for effective operational decision-making. The book encompasses a wide array of quantitative methods, including discrete event simulation, queuing analytic theory, linear, integer and probabilistic optimization, among others. By acting as a bridge between management engineering experts and healthcare administrators, Healthcare Management Engineering is an invaluable resource for hospital and clinic leadership, aiding them in their managerial roles. Furthermore, it serves as a comprehensive repository of introductory challenges and projects suitable for graduate-level students in healthcare management and administration.