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Understanding and managing the complexity of healthcare

Author: William B Rouse; Nicoleta Serban
Publisher: Cambridge, Massachusetts : The MIT Press, [2014] ©2014
Series: Engineering systems.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
Breakthroughs in medical science, innovations in medical technologies, and improvements in clinical practices occur today at an increasingly rapid rate. Yet because of a fragmented healthcare delivery system, many Americans are unable to benefit from these developments. How can we design a system that can provide high-quality, affordable healthcare for everyone? In this book, William Rouse and Nicoleta Serban  Read more...
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Document Type: Book
All Authors / Contributors: William B Rouse; Nicoleta Serban
ISBN: 9780262027519 0262027518
OCLC Number: 863667769
Description: 284 pages : illustrations ; 24 cm.
Contents: Introduction --
Complexity of healthcare delivery --
Healthcare costs and their causes --
Impacts of healthcare price controls --
Prevention and wellness --
Chronic disease management --
Equity of care --
Technologies for care --
Data in healthcare --
Methodologies for improvement --
Facilitating change.
Series Title: Engineering systems.
Responsibility: William B. Rouse and Nicoleta Serban.

Abstract:

Breakthroughs in medical science, innovations in medical technologies, and improvements in clinical practices occur today at an increasingly rapid rate. Yet because of a fragmented healthcare delivery system, many Americans are unable to benefit from these developments. How can we design a system that can provide high-quality, affordable healthcare for everyone? In this book, William Rouse and Nicoleta Serban introduce concepts, principles, models, and methods for understanding, and improving, healthcare delivery. Approaching the topic from the perspectives of engineering and statistics, they argue that understanding healthcare delivery as a complex adaptive system will help us design a system that is more efficient, effective, and equitable. The authors use multilevel simulation models as a quantitative tool for evaluating alternate ways of organizing healthcare delivery. They employ this approach, for example, in their discussions of affordability, a prevention and wellness program, chronic disease management, and primary care accessibility for children in the Medicaid program. They also consider possible benefits from a range of technologies, including electronic health records and telemedicine; data mining as an alternative to randomized trials; conceptual and analytical methodologies that address the complexity of the healthcare system; and how these principles, models, and methods can enable transformational change.--

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