New Book to be published:

Healthcare Analytics: From Data to Knowledge to Healthcare Improvement

Wiley Series in Operations Research and Management Science (WORMS)

The individual book chapters will be included in Wiley Online Library with unique DOIs.

John Wiley & Sons, Inc.
111 River Street, MS 8-01
Hoboken, NJ 07030
Tel: 201-748-6507

1. Book Editors

Dr. Hui Yang, Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University.

Professional Website:

Dr. Eva K. Lee, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology

Professional Website:

Brief Biography:

Dr. Hui Yang is is an associate professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research focuses on 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. His research received several best paper awards such as the IBM Best Paper Award at EMBC 2011, and ISERC Best Paper Awards (Manufacturing and Design Track in 2009, Computer and Information Systems Track in 2010 and 2015). Dr. Yang is a recipient of NSF CAREER Award (2015). Currently, he serves as the 2015 chair-elect of INFORMS quality, statistics and reliability society and program chair of 2016 Industrial and Systems Engineering Research Conference (ISERC).

Dr. Eva K Lee is a professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology, and Director of the Center for Operations Research in Medicine and HealthCare. She is also a Senior Research Professor at the Atlanta VA Medical Center. Dr. Lee earned a Ph.D. at Rice University in the Department of Computational and Applied Mathematics, and received her undergraduate degree in Mathematics from Hong Kong Baptist University, where she graduated with Highest Distinction. Dr. Lee was awarded a NSF/NATO postdoctoral fellowship on Scientific Computing, and a postdoctoral fellowship from Konrad-Zuse-Zentrum Informationstechnik Berlin in 1995 for Parallel Computation. In 1996, she received the NSF Presidential Young Investigator Award for research on integer programming and parallel algorithms and their applications to medical diagnosis and cancer treatment. She was the first OR/IE recipient for the prestigious Whitaker Foundation Biomedical Grant for Young Investigators, awarded for her work on a novel approach for combining biological imaging and optimal treatment design for prostate cancer. In 2004, she was selected as one of the Extraordinary Women Engineers. In 2005, she received the INFORMS Pierskalla award for research excellence in HealthCare and Management Science for her work on emergency response and planning, large-scale prophylaxis dispensing, and resource allocation for bioterrorism and infectious disease outbreaks. In 2006, she was chosen by the American Mathematical Society as the representative mathematician to speak and discuss individually with congressional leaders about her research advances in the medical and healthcare domain, and about the importance of mathematics in scientific advances. Together, Lee and Dr. Marco Zaider from Memorial Sloan-Kettering Cancer Center were named winners of the 2007 Franz Edelman award for their work on using operations research to advance cancer therapeutics.


Important Date:

Title and Abstract Due: One month after receiving invitation email (All abstracts and chapter drafts please email to Dr. Hui Yang)

Final Chapter Draft Due:  April 1, 2014

Camera-Ready Due: August 1, 2015

Send for Publishing: around December 1, 2015

Note: All finished book chapters and inquires please submit to Dr. Hui Yang.


Authors' Kit

Wiley Manuscript Guidelines for book authors (

Microsoft WORD Format Template


2. Book Information

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 efficient 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 care quality and operational efficiency.

Organized into two main sections, Part One 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 Two 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 the various analytical methods and tools that can be applied to successful predictive modeling

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.

3. Table of Contents

Part I: Advances in Biomedical and Health Informatics

1. Recent development in methodology for gene network problems and inferences
Sung Won Han, Hua Zhong

2. Biomedical Analytics and Morphoproteomics: An Integrative Approach for Medical Decision Making for Recurrent or Refractory Cancers
Mary F. McGuire, Robert E. Brown

3. Characterization and Monitoring of Nonlinear Dynamics and Chaos in Complex Physiological Systems
Hui Yang, Yun Chen

4. Statistical Modeling of Electrocardiography Signal for Subject Monitoring and Diagnosis
Lili Chen, Changyue Song, Xi Zhang

5. Modeling and Simulation of Measurement Uncertainty in Clinical Laboratories
Varun Ramamohan, James T. Abbott, and Yuehwern Yih

6. Predictive Analytics: Classification in Medicine and Biology
Eva K Lee

7. Predictive Modeling in Radiation Oncology
Hao Zhang, Robert Meyer, Leyuan Shi, Wei Lu, Warren D’Souza

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

9. Analytics for Health: Design of Cyber-infrastructures for Multiscale & Real-time Cholera Outbreak Predictions
Matteo Convertino, Arabi Mouhaman, Glenn Morris Jr., Song Liang

Part II: Analytics for Healthcare Delivery
10. Systems Analytics: Modeling and Optimizing Clinic Workflow and Patient Care
Eva K. Lee, Hany Y. Atallah, and Michael D. Wright et al.

11. A Multi-objective Simulation Optimization of the Macro-level Patient Flow Distribution
Yunzhe Qiu, Jie Song

12. Analysis of Resource Intensive Activity Volumes in U.S. Hospitals
Shivon Boodhoo, Sanchoy Das

13. Discrete-Event Simulation for Primary Care Redesign: Review and a Case Study
Xiang Zhong, MollyWilliams, Jingshan Li, SallyA. Kraft and Jeffrey S. Sleeth

14. Temporal and Spatio-Temporal Models for Ambulance Demand
Zhengyi Zhou, David S. Matteson

15. Mathematical Optimization and Simulation Analyses for Optimal Liver Allocation Boundaries
Naoru Koizumi, Monica Gentili, and Rajesh Ganesan et. al

16. Predictive Analytics in 30day Hospital Readmissions for Heart Failure Patients
Si-Chi Chin, Rui Liu, and Senjuti Basu Roy

17. Heterogeneous Sensing and Predictive Modeling of Postoperative Outcomes
Yun Chen, Fabio Leonelli, and Hui Yang

18. Analyzing Patient-Physician Interaction in Consultation for Shared Decision Making
Thembi Mdluli, Joyatee Sarker, Carolina Vivas Valencia, Nan Kong, Cleveland G. Shields

19. The History and Modern Applications of Insurance Claims Data in Health Care Research
Margrét V. Bjarndóttir, David Czerwinski, Yihan Guan

20. Understanding the Role of Social Media in Healthcare via Analytics: A Health Plan Perspective
Sinjini Mitra, Rema Padman


4. FAQ

(1) Will book chapters be indexed and have unique DOI numbers?

Yes, individual chapters will be included in Wiley online library with unique DOI numbers.

(2) What is the desired length of a chapter?

The length can range from 15~25 pages, depending on the quality of chapters.

Please see detailed instructions on format guidelines in the Microsoft WORD Format Template.

(3) What chapter should I work on? title?

The title is self-originated by the authors, but the topic should be relevant to the main theme of healthcare data analytics. 

(4) What if multiple authors cover overlapped contents?

Each chapter is from the author’s prior research. It is very unlikely that two authors are doing the exactly same research.

(5) What is the formatting guideline for the book chapter?

Wiley Manuscript Guidelines for book authors (

Microsoft WORD Format Template

(6) Can I contribute more than one book chapter?

Yes, you are welcome to contribute more than one chapter if high-quality standards are maintained.

(7) Will there be a peer-review process?

Yes, the objective of peer-review process is not to reject the submission, but rather help improve the quality of submissions. However, rejections will be made if the quality of book chapters are totally off the wall.

(8) What are desired contents in a book chapter?

It is anticipated that the contents of book chapters are relevant to four concentrations in the book, i.e., (1) Data mining and statistical learning in healthcare. (2) Simulation and modeling in healthcare.(3) Healthcare service science. (4) Medical decision making.

In addition, each book chapter should provide a comprehensive review of the state of the art, detailed explanations of research methodology, and  be rigorous in mathematics. 

(9) What is the optimal structure of a book chapter?

The authors can choose the optimal structure that is best suited to illustrate the research.