Healthcare analytics : from data to knowledge to healthcare improvement / Hui Yang, Florida, USA, Eva K. Lee, Atlanta, USA.

Format:

Book

Author/Creator:

Yang, Hui, 1981- author.

Lee, Eva K., author.

Series:

Wiley series in operations research and management science.

THEi Wiley ebooks.

Wiley series in operations research and management science

THEi Wiley ebooks

Language:

English

Subjects (All):

Medical care--Data processing.

Medical care.

Medical care--Information services.

Physical Description:

1 online resource (736 p.)

Place of Publication:

Hoboken, New Jersey : Wiley, [2016]

Language Note:

English.

System Details:

Access using campus network via VPN at home (THEi Users Only).

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. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: Contributions from well-known international experts who shed light on new approaches in this growing area Discussions on contemporary methods and techniques to address the handling of rich and large-scale healthcare data as well as the overall optimization of healthcare system operations Numerous real-world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry Plentiful applications that showcase analytical methods and tools tailored for successful healthcare systems modeling and improvement The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate-level courses typically offered within operations research, industrial engineering, business, and public health departments. HUI YANG, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor-based modeling and analysis of complex systems for process monitoring/control; system diagnostics/ prognostics; quality improvement; and performance optimization with special focus on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self-organizing behaviors. EVA K. LEE, PhD, is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Director of the Center for Operations Research in Medicine and HealthCare, and Distinguished Scholar in Health System, Health Systems Institute at both Emory University School of Medicine and Georgia Institute of Technology. Her research interests include health-risk prediction; early disease prediction and diagnosis; optimal treatment strategies and drug delivery; healthcare outcome analysis and treatment prediction; public health and medical preparedness; large-scale healthcare/medical decision analysis and quality improvement; clinical translational"

Contents:

Part I: Advances in biomedical and health informatics. Recent Development in Methodology for Gene Network Problems and Inferences / Sung W. Han and Hua Zhong

Biomedical analytics and morphoproteomics: an integrative approach for medical decision making for recurrent or refractory cancers / Mary F. McGuire and Robert E. Brown

Characterization and monitoring of nonlinear dynamics and chaos in complex physiological systems / Hui Yang, Yun Chen and Fabio Leonelli

Statistical modeling of electrocardiography signal for subject monitoring and diagnosis / Lili Chen, Changyue Song and Xi Zhang

Modeling and simulation of measurement uncertainty in clinical laboratories / Varun Ramamohan, James T. Abbott and Yuehwern Yih

Predictive analytics: classification in medicine and biology / Eva K. Lee

Predictive modeling in radiation oncology / Hao Zhang, Robert Meyer, Leyuan Shi, Wei Lu and Warren D'Souza

Mathematical modeling of innate immunity responses of sepsis: modeling and computational studies / Chih-Hang J. Wu, Zhenshen Shi, David Ben-Arieh and Steven Q. Simpson

Part II: Analytics for healthcare delivery. Systems Analytics: Modeling and optimizing clinic workflow and patient care / Eva K. Lee, Hany Y. Atallah, Michael D. Wright, Calvin Thomas, Eleanor T. Post, Daniel T. Wu and Leon L. Haley Jr

A multiobjective simulation optimization of the macrolevel patient flow distribution / Yunzhe Qiu and Jie Song

Analysis of resource intensive activity volumes in US hospitals / Shivon Boodhoo and Sanchoy Das

Discrete-event simulation for primary care redesign: review and a case study / Xiang Zhong, Molly Williams, Jingshan Li, Sally A. Kraft and Jeffrey S. Sleeth

Temporal and spatiotemporal models for ambulance demand / Zhengyi Zhou and David S. Matteson

Mathematical optimization and simulation analyses for optimal liver allocation boundaries / Naoru Koizumi [and others]

Predictive analytics in 30-day hospital readmissions for heart failure patients / Si-Chi Chin, Rui Liu and Senjuti B. Roy

Heterogeneous sensing and predictive modeling of postoperative outcomes / Yun Chen, Fabio Leonelli and Hui Yang

Analyzing patient

physician interaction in consultation for shared decision making / Thembi Mdluli, Joyatee Sarker, Carolina Vivas-Valencia, Nan Kong and Cleveland G. Shields

The history and modern applications of insurance claims data in healthcare research / Margrâet V. Bjarndâottir, David Czerwinski and Yihan Guan

Understanding the role of social media in healthcare via analytics: a health plan perspective / Sinjini Mitra and Rema Padman

Understanding the role of social media in healthcare via analytics: a health plan perspective / Sinjini Mitra and Rema Padman.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-119-37466-9

1-119-37464-2

1-118-91942-4

1-118-91941-6

1-118-91940-8

OCLC:

953458715