Healthcare Analytics: From Data to Knowledge to Healthcare Improvement, edited by Hui Yang, offers a comprehensive exploration into the application of statistical and operational research methods within the healthcare sector. This first edition, published by Wiley on August 1, 2016, delves into recent advancements in data-driven analytics aimed at enhancing personalization and intelligence in healthcare services.

Organized into two main sections, the book begins with Part I, which covers biomedical and health informatics. It explores topics such as genomic and proteomic data analysis, physiological signal processing from patient-monitoring systems, handling data uncertainty in clinical laboratory tests, predictive modeling techniques, disease models for sepsis, and cyber infrastructure design for early epidemic prediction.

Part II focuses on healthcare delivery systems, discussing system innovations to transform clinic workflows and improve patient care. It also examines patient flow distribution analysis, intensive care units, primary care strategies, demand and resource allocation management, mathematical models for predicting readmission rates and postoperative outcomes, interactions between physicians and patients, insurance claims processing, and the influence of social media on healthcare.

Featuring 632 pages of insightful content, this book is a valuable resource for researchers, practitioners, and professionals looking to leverage data analytics in improving healthcare quality and operational efficiency.

ISBN-10: 1118919394 | ISBN-13: 978-1118919392