000 02432cam a2200289zu 4500
001 88841788
003 FRCYB88841788
005 20250107104521.0
006 m o d
007 cr un
008 250107s2014 fr | o|||||0|0|||eng d
020 _a9780262027519
035 _aFRCYB88841788
040 _aFR-PaCSA
_ben
_c
_erda
100 1 _aRouse, William B.
245 0 1 _aUnderstanding and Managing the Complexity of Healthcare
_c['Rouse, William B.', 'Serban, Nicoleta']
264 1 _bMIT Press
_c2014
300 _a p.
336 _btxt
_2rdacontent
337 _bc
_2rdamdedia
338 _bc
_2rdacarrier
650 0 _a
700 0 _aRouse, William B.
700 0 _aSerban, Nicoleta
856 4 0 _2Cyberlibris
_uhttps://international.scholarvox.com/netsen/book/88841788
_qtext/html
_a
520 _aAn 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.
999 _c15152
_d15152