Healthcare analytics : from data to knowledge to healthcare improvement

Features of statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and compr...

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Bibliographic Details
Main Author: Lee, Eva K., (Author)
Other Authors: Yang, Hui, 1981- (Editor)
Format: eBook
Language: English
Published: Hoboken, N.J. : John Wiley & Sons, [2016]
Series: Wiley series in operations research and management science.
Subjects:
ISBN: 9781118919408
Physical Description: 1 online zdroj (xxiii, 602, [2] stran) : ilustrace (některé barevné).

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Table of contents

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245 0 0 |a Healthcare analytics :  |b from data to knowledge to healthcare improvement /  |c Hui Yang, Eva K. Lee. 
264 1 |a Hoboken, N.J. :  |b John Wiley & Sons,  |c [2016] 
264 4 |c ©2016 
300 |a 1 online zdroj (xxiii, 602, [2] stran) :  |b ilustrace (některé barevné). 
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490 1 |a Wiley series in operations research and management science 
504 |a Obsahuje bibliografické odkazy a index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity 
520 |a Features of statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized and smarter healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance healthcare quality and operational efficiency. Organized into two main sections, Part I features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part II focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician-patient interactions; insurance claims; and the role of social media in healthcare. - Resumé vydavatel 
588 0 |a Online resource; title from pdf title page (WileyOnlineLibrary, viewed March 20, 2017). 
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650 0 7 |a statistické modely  |7 ph126064  |2 czenas 
650 0 9 |a medical care  |2 eczenas 
650 0 9 |a data processing  |2 eczenas 
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655 9 |a case studies  |2 eczenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Yang, Hui,  |d 1981-  |e editor. 
700 1 |a Lee, Eva K.,  |e author. 
776 0 8 |i Print version:  |t Healthcare analytics.  |d Hoboken, New Jersey : John Wiley & Sons, 2016  |z 9781118919392  |w (DLC) 2015047966  |w (OCoLC)907148412 
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