An argument that understanding healthcare delivery as a complex
adaptive system will help us design a system that yields better
health outcomes. 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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