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Handbook of Healthcare Analytics (eBook)

Theoretical Minimum for Conducting 21st Century Research on Healthcare Operations

Tinglong Dai, Sridhar Tayur (Herausgeber)

eBook Download: PDF
2018
John Wiley & Sons (Verlag)
9781119300953 (ISBN)

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How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century? Editors Tinglong Dai and Sridhar Tayur, aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing cross-disciplinary field. The Handbook covers a wide range of macro-, meso- and micro-level thrusts such as market design, competing interests, global health, personalized medicine, residential care and concierge medicine, among others and structures what has been a highly fragmented research area into a coherent scientific discipline. The handbook also provides an easy-to-comprehend introduction to five essential research tools Markov decision process, game theory and information economics, queueing games, econometric methods, and data science by illustrating their uses and applicability on examples from diverse healthcare settings, thus connecting tools with thrusts. The primary audience of the Handbook includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. This Handbook: Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings. This change in perspective a shift in gaze away from narrow, local and one-off operational improvement efforts that do not replicate, scale or remain sustainable can lead to new knowledge and innovative solutions that healthcare has been seeking so desperately. Facilitates collaboration between healthcare experts and analytics scholar to frame and tackle their pressing concerns through appropriate modern mathematical tools designed for this very purpose. The handbook is designed to be accessible to the independent reader, and it may be used in a variety of settings, from a short lecture series on specific topics to a semester-long course.

Tinglong Dai, PhD, is Associate Professor of Operations Management and Business Analytics at Johns Hopkins University. A recipient of numerous awards, including Johns Hopkins Discovery Award, Institute for Operations Research and the Management Sciences (INFORMS) Public Sector Operations Research Best Paper Award and Production and Operations Management Society (POMS) Best Healthcare Paper Award, his research spans across healthcare analytics, marketing/operations interfaces, and artificial intelligence. Sridhar Tayur, PhD, is Ford Distinguished Research Chair and Professor of Operations Management at Tepper School of Business, Carnegie Mellon University. He has been elected as Member of National Academy of Engineering, Fellow of Institute for Operations Research and the Management Sciences (INFORMS), and Distinguished Fellow of the Manufacturing and Service Operations Management Society (MSOM). An Academic Capitalist, he is Founder of the supply chain software company SmartOps and the social enterprise OrganJet.

Erscheint lt. Verlag 10.8.2018
Reihe/Serie Wiley Series in Operations Research and Management Science
Wiley Series in Operations Research and Management Science
Wiley Series in Operations Research and Management Science
Sprache englisch
Themenwelt Medizin / Pharmazie Gesundheitswesen
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Schlagworte appointment scheduling analytics • Betriebswirtschaft u. Operationsforschung • biomedical engineering analytics • Business & Management • Data Mining • Data Mining Statistics • Data-Science • Econometrics • Electronic Medical Records • explanatory modeling for healthcare • Forschung im Gesundheitswesen • Game Theory • Gesundheits- u. Sozialwesen • Handbook of Healthcare Analytics: Theoretical Minimum for Conducting 21st Century Research on Healthcare Operations • Health & Social Care • Healthcare analysis • Healthcare Analytics • healthcare data analysis • healthcare data collection • healthcare data management • healthcare data sharing • healthcare information technology utilization • Healthcare Operations • healthcare qualitative analysis • health care research • healthcare research • healthcare statistical analysis • health information exchange • Management Science • Management Science/Operational Research • Medical analytics • nurse scheduling management • Operations Management • Operations Research • operations research and management • operations research techniques • patient flow management • predictive modeling for healthcare • public health analytics • Queueing Theory • spatial analysis • Statistics • Statistik • Wirtschaft u. Management
ISBN-13 9781119300953 / 9781119300953
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