Healthcare Systems Engineering
| Author | : | |
| Rating | : | 4.57 (584 Votes) |
| Asin | : | 1118971086 |
| Format Type | : | paperback |
| Number of Pages | : | 432 Pages |
| Publish Date | : | 2015-11-21 |
| Language | : | English |
DESCRIPTION:
Excellent coverage of systems engineering methods applied to healthcare I teach a health systems engineering course to MBA and MS students pursuing degrees in operations management. I have selected Griffin et al.’s Health Systems Engineering as a textbook for my course because it provides excellent coverage of relevant healthcare topics, as well as many rich examples that explore how different types of models can be applied to provide. Superior Amazon Customer Outstanding. I intend to adopt this for my graduate students. No other book exists with the coverage of this text.It is worth investigating.
This book functions as both an introduction and a reference, giving you the knowledge you need to move toward better healthcare delivery. You'll learn how to approach the healthcare industry as a complex system, and apply relevant design and engineering principles and processes to advance improvements. Although collaboration is focused on practitioners, professionals in information technology, policy and administration, public health, and law all play crucial roles in revamping health care systems. Written with an eye toward practicality, this book is designed to maximize your understanding and help you quickly apply toward solutions for a variety of healthcare challenges. Apply engineering and design principles to revitalize the healthcare delivery systemHealthcare Systems Engineering is the first engineering book to cover this emerging field, offering comprehensiv
Examples and case studies illustrate the practical aspect of the presented strategies to help readers from a variety of backgrounds quickly apply new approaches in practice. From the Back CoverAN AUTHORITATIVE INDUSTRIAL ENGINEERING APPROACH TO HEALTHCARE SYSTEMS OPTIMIZATIONHealthcare Systems Engineering offers comprehensive coverage of engineered solutions to healthcare delivery, measurement, and modeling. Thoughtful discussion tackles both domain and relevant statistical and quantitative models to improve current systems—or design new ones from the ground up. . Identify the components, stakeholders, and major drivers of the healthcare delivery systemView healthcare as a complex adaptive system to apply systems thinking and sy
HYOJUNG KANG, PHD, is a Research Assistant Professor of Systems and Information Engineering at the University of Virginia. DEFLITCH, MD, is the Chief Medical Information Officer and an Associate Professor of Emergency Medicine at the Pennsylvania State University Hershey Medical Center. NATHANIEL D. M