Healthcare analytics: from data to knowledge to healthcare improvement
Yang, Hui
- New Jersey Wiley 2016
- xxiii, 602 p.
Table of Contents:
Part I Advances in biomedical and health informatics 1 1 Recent Development in Methodology for Gene Network Problems and Inferences 2 Biomedical Analytics and Morphoproteomics: An Integrative Approach for Medical Decision Making for Recurrent or Refractory Cancers 3 Characterization and Monitoring of Nonlinear Dynamics and Chaos in Complex Physiological Systems 4 Statistical Modeling of Electrocardiography Signal for Subject Monitoring and Diagnosis 5 Modeling and Simulation of Measurement Uncertainty in Clinical Laboratories 6 Predictive Analytics: Classification in Medicine and Biology 7 Predictive Modeling in Radiation Oncology 8 Mathematical Modeling of Innate Immunity Responses of Sepsis: Modeling and Computational Studies
Part II Analytics for healthcare delivery 9 Systems Analytics: Modeling and Optimizing ClinicWorkflow and Patient Care 10 A Multiobjective Simulation Optimization of the Macrolevel Patient Flow Distribution 11 Analysis of Resource Intensive Activity Volumes in us Hospitals 12 Discrete-Event Simulation for Primary Care Redesign: Review and a Case Study 13 Temporal and Spatiotemporal Models for Ambulance Demand 14 Mathematical Optimization and Simulation Analyses for Optimal Liver Allocation Boundaries 15 Predictive Analytics in 30-Day Hospital Readmissions for Heart Failure Patients 16 Heterogeneous Sensing and Predictive Modeling of Postoperative Outcomes 17 Analyzing Patient–Physician Interaction in Consultation for Shared Decision Making 18 The History and Modern Applications of Insurance Claims Data in Healthcare Research 19 Understanding the Role of Social Media in Healthcare via Analytics: a Health Plan Perspective
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.