Description
| Summary: | 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.
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| Physical Description: | 1 online resource (xxiii, 602, [2] pages) : illustrations (some color) |
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| Bibliography: | Includes bibliographical references and index. |
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| ISBN: | 9781118919408
1118919408
9781118919422
1118919424
9781118919415
1118919416
9781119374664
1119374669
9781119374640
1119374642 |
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| Language: | English. |
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| Source of Description, Etc. Note: | Online resource; title from pdf title page (WileyOnlineLibrary, viewed March 20, 2017). |
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