Items related to Stochastic Processes for Adaptive Healthcare Systems
Synopsis
Healthcare organizations worldwide operate under constant pressure due to uncertainty in patient needs, resource availability, and operational demands. Traditional planning approaches often struggle to account for the complexity and variability that characterize modern healthcare environments. In response, probabilistic and stochastic models have emerged as powerful tools for forecasting, decision-making, and performance improvement. By capturing uncertainty and change over time, these approaches enable healthcare organizations to better understand system behavior and respond more effectively to evolving conditions. Consequently, stochastic methods are becoming increasingly important for improving operational efficiency and adaptability across healthcare environments. Stochastic Processes for Adaptive Healthcare Systems establishes a rigorous mathematical foundation for designing and managing healthcare systems that are resilient, data-informed, and inherently adaptive. Moving beyond descriptive case studies, the book introduces the formal language of stochastic processes as a foundational toolkit for modeling and optimizing the inherently uncertain nature of healthcare operations. Covering topics such as predictive hospital resilience, performance monitoring, and Markov chains, this book is an indispensable academic resource for graduate and doctoral students, healthcare systems scientists, health data analysts, hospital executives, healthcare administrators, biostatisticians, healthcare policymakers, and more.
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About the Author
Anastasius Moumtzoglou is a Former Executive Board Member of the European Society for Quality in Health Care, President of the Hellenic Society for Quality & Safety in Health Care, and holds B.A in Economics, MA in Health Services Management, MA in Macroeconomics, Ph.D. in Economics. He teaches the module of quality at the graduate and postgraduate level. He has also written three Greek books, the only ones with Greek references. The first deals with "Marketing in Health Care", the following with "Quality in Health Care", and the third with "Quality and Patient Safety in Health Care." He has edited the books "E-Health Systems Quality and Reliability: Models and Standards", "E-health Technologies & Improving Patient Safety: Exploring Organizational Factors", "Cloud Computing Applications for Quality Health Care Delivery", "Laboratory Management Information Systems: Current Requirements and Future Perspectives", " M-Health Innovations for Patient-Centered Care", "Design Development and Integration of Reliable Electronic Healthcare Platforms", and "Mobile Health Applications for Quality Healthcare Delivery", and 'Quality Assurance in the Era of Individualized Medicine', and 'Quality of Healthcare in the Aftermath of the COVID-19 Pandemic'. He is the Editor-in-Chief of the "Advances in Healthcare Information Systems and Administration" book series and the International Journal of Reliable & Quality in Healthcare (IJRQEH). He has also served as the scientific coordinator of research programs in Greece and participated as a researcher in European research programs. In 2004, he was declared the "Person of Quality" with respect to Greece.
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Stochastic Processes for Adaptive Healthcare Systems
Seller: California Books, Miami, FL, U.S.A.
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Stochastic Processes for Adaptive Healthcare Systems
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Buch. Condition: Neu. Neuware - Healthcare organizations worldwide operate under constant pressure due to uncertainty in patient needs, resource availability, and operational demands. Traditional planning approaches often struggle to account for the complexity and variability that characterize modern healthcare environments. In response, probabilistic and stochastic models have emerged as powerful tools for forecasting, decision-making, and performance improvement. By capturing uncertainty and change over time, these approaches enable healthcare organizations to better understand system behavior and respond more effectively to evolving conditions. Consequently, stochastic methods are becoming increasingly important for improving operational efficiency and adaptability across healthcare environments. Stochastic Processes for Adaptive Healthcare Systems establishes a rigorous mathematical foundation for designing and managing healthcare systems that are resilient, data-informed, and inherently adaptive. Moving beyond descriptive case studies, the book introduces the formal language of stochastic processes as a foundational toolkit for modeling and optimizing the inherently uncertain nature of healthcare operations. Covering topics such as predictive hospital resilience, performance monitoring, and Markov chains, this book is an indispensable academic resource for graduate and doctoral students, healthcare systems scientists, health data analysts, hospital executives, healthcare administrators, biostatisticians, healthcare policymakers, and more. Seller Inventory # 9798337397054
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