Download or read book Simulation Modeling for Complex Decision making in Healthcare Delivery Systems written by Kanokporn Pongjetanapong and published by . This book was released on 2018 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discrete-event simulation (DES) has been widely used for decades as an effective decision-making tool for reducing costs and enhancing patient service levels in healthcare delivery systems. A number of DES packages and modeling approaches have emerged to extend the ability and flexibility of DES. Various approaches have also been proposed in the literature to address the complexity of healthcare modeling and to incorporate decision-making. Decision-making in healthcare systems usually involves the determination of optimal resource allocation and patient queuing and routing decisions. The standard DES approach, however, relies on a queuing network to embed complex decision-making. This use of queues can be ubiquitous and error prone. Recently, [20] proposed a hierarchical control conceptual modeling (HCCM) approach to replace queues with a more sophisticated control structure. Entity queuing is replaced with activity requests generated by entity movement. The control unit considers a list of requests to make an optimal allocation decision and this structure enables centralized decision-making. In this thesis, we evaluate whether HCCM is appropriate for healthcare DES modeling and determine its benefits over traditional approaches. We investigate two case studies. The first case study models a health check-up department with a complex queue-based system. Through this case study, we evaluate the ability of HCCM to model a queue-based system. The second case study models the workflow in a cytology department. Through this case study, we evaluate the ability of HCCM to model a dynamic priority system making complex dispatch decisions. In this research, we also illustrate the implementation of our resulting HCCM models in state-of-the-art healthcare simulation software, FlexSim Healthcare (FlexSim HC). Standard DES packages, including FlexSim HC, have not been developed to accommodate the control structure of HCCM. Thus, through the implementation, we evaluate whether HCCM can be embedded in FlexSim HC and discuss the technical difficulties of implementing a HCCM model using a tool designed specifically for healthcare modeling but not built for HCCM.

Download or read book EBOOK Analytical Models for Decision Making written by Colin Sanderson and published by McGraw-Hill Education (UK). This book was released on 2006-03-16 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health care systems are complex and, as a result, it is often unclear what the effects of changes in policy or service provision might be. At the same time, resources for health care tend to be in short supply, which means that public health practitioners have to make difficult decisions. This book describes the quantitative and qualitative methods that can help decision-makers to structure and clarify difficult problems and to explore the implications of pursuing different options. The accompanying CD ROM provides the opportunity to try out some of the proposed solutions. The book examines: Models and decision-making in health care Methods for clarifying complex decisions Models for service planning and resource allocation Modelling for evaluating changes in systems Series Editors: Rosalind Plowman and Nicki Thorogood.

Download or read book Stochastic Modeling And Analytics In Healthcare Delivery Systems written by Jingshan Li and published by World Scientific. This book was released on 2017-09-22 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been an increased interest in the field of healthcare delivery systems. Scientists and practitioners are constantly searching for ways to improve the safety, quality and efficiency of these systems in order to achieve better patient outcome.This book focuses on the research and best practices in healthcare engineering and technology assessment. With contributions from researchers in the fields of healthcare system stochastic modeling, simulation, optimization and management, this is a valuable read.

Download or read book Modeling and Simulation in the Medical and Health Sciences written by John A. Sokolowski and published by John Wiley & Sons. This book was released on 2012-01-25 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book is divided into three parts: Fundamentals of Medical and Health Sciences Modeling and Simulation introduces modeling and simulation in the medical and health sciences; Medical and Health Sciences Models provides the theoretical underpinnings of medical and health sciences modeling; and Modeling and Simulation Applications in Medical and Health Sciences focuses on teaching, training, and research applications. The book begins with a general discussion of modeling and simulation from the modeling and simulation discipline perspective. This discussion grounds the reader in common terminology. It also relates this terminology to concepts found in the medical and health care (MHC) area to help bridge the gap between developers and MHC practitioners. Three distinct modes of modeling and simulation are described: live, constructive, and virtual. The live approach explains the concept of using real (live) people employing real equipment for training purposes. The constructive mode is a means of engaging medical modeling and simulation. In constructive simulation, simulated people and simulated equipment are developed to augment real-world conditions for training or experimentation purposes. The virtual mode is perhaps the most fascinating as virtual operating rooms and synthetic training environments are being produced for practitioners and educators at break-neck speed. In this mode, real people are employing simulated equipment to improve physical skills and decision-making ability.

Download or read book Systems Models for Decision Making written by Nawaz Sharif and published by Pergamon. This book was released on 1978 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Medical Device Data and Modeling for Clinical Decision Making written by John R. Zaleski and published by Artech House. This book was released on 2011 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting-edge volume is the first book that provides you with practical guidance on the use of medical device data for bioinformatics modeling purposes. You learn how to develop original methods for communicating with medical devices within healthcare enterprises and assisting with bedside clinical decision making. The book guides in the implementation and use of clinical decision support methods within the context of electronic health records in the hospital environment.This highly valuable reference also teaches budding biomedical engineers and bioinformaticists the practical benefits of using medical device data. Supported with over 100 illustrations, this all-in-one resource discusses key concepts in detail and then presents clear implementation examples to give you a complete understanding of how to use this knowledge in the field.

Download or read book Research Challenges in Modeling and Simulation for Engineering Complex Systems written by Richard Fujimoto and published by Springer. This book was released on 2017-08-18 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This illuminating text/reference presents a review of the key aspects of the modeling and simulation (M&S) life cycle, and examines the challenges of M&S in different application areas. The authoritative work offers valuable perspectives on the future of research in M&S, and its role in engineering complex systems. Topics and features: reviews the challenges of M&S for urban infrastructure, healthcare delivery, automated vehicle manufacturing, deep space missions, and acquisitions enterprise; outlines research issues relating to conceptual modeling, covering the development of explicit and unambiguous models, communication and decision-making, and architecture and services; considers key computational challenges in the execution of simulation models, in order to best exploit emerging computing platforms and technologies; examines efforts to understand and manage uncertainty inherent in M&S processes, and how these can be unified under a consistent theoretical and philosophical foundation; discusses the reuse of models and simulations to accelerate the simulation model development process. This thought-provoking volume offers important insights for all researchers involved in modeling and simulation across the full spectrum of disciplines and applications, defining a common research agenda to support the entire M&S research community.

Download or read book Modelling in Healthcare written by and published by American Mathematical Soc.. This book was released on 2010 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: A model is a simplified representation of a real-world situation used to help answer a specific question. This book provides a look into the world of modelling with the focus on modelling in healthcare.--[from preface]

Download or read book Building a Better Delivery System written by Institute of Medicine and published by National Academies Press. This book was released on 2005-10-20 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a joint effort between the National Academy of Engineering and the Institute of Medicine, this books attempts to bridge the knowledge/awareness divide separating health care professionals from their potential partners in systems engineering and related disciplines. The goal of this partnership is to transform the U.S. health care sector from an underperforming conglomerate of independent entities (individual practitioners, small group practices, clinics, hospitals, pharmacies, community health centers et. al.) into a high performance "system" in which every participating unit recognizes its dependence and influence on every other unit. By providing both a framework and action plan for a systems approach to health care delivery based on a partnership between engineers and health care professionals, Building a Better Delivery System describes opportunities and challenges to harness the power of systems-engineering tools, information technologies and complementary knowledge in social sciences, cognitive sciences and business/management to advance the U.S. health care system.

Download or read book Stochastic Modeling and Decision Making in Two Healthcare Applications written by Pengyi Shi and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Delivering health care services in an efficient and effective way has become a great challenge for many countries due to the aging population worldwide, rising health expenses, and increasingly complex healthcare delivery systems. It is widely recognized that models and analytical tools can aid decision-making at various levels of the healthcare delivery process, especially when decisions have to be made under uncertainty. This thesis employs stochastic models to improve decision-making under uncertainty in two specific healthcare settings: inpatient flow management and infectious disease modeling. In Part I of this thesis, we study patient flow from the emergency department (ED) to hospital inpatient wards. This line of research aims to develop insights into effective inpatient flow management to reduce the waiting time for admission to inpatient wards from the ED. Delayed admission to inpatient wards, also known as ED boarding, has been identified as a key contributor to ED overcrowding and is a big challenge for many hospitals. Part I consists of three main chapters. In Chapter 2 we present an extensive empirical study of the inpatient department at our collaborating hospital. Motivated by this empirical study, in Chapter 3 we develop a high fidelity stochastic processing network model to capture inpatient flow with a focus on the transfer process from the ED to the wards. In Chapter 4 we devise a new analytical framework, two-time-scale analysis, to predict time-dependent performance measures for some simplified versions of our proposed model. We explore both exact Markov chain analysis and diffusion approximations. Part I of the thesis makes contributions in three dimensions. First, we identify several novel features that need to be built into our proposed stochastic network model. With these features, our model is able to capture inpatient flow dynamics at hourly resolution and reproduce the empirical time-dependent performance measures, whereas traditional time-varying queueing models fail to do so. These features include unconventional non-i.i.d. (independently and identically distributed) service times, an overflow mechanism, and allocation delays. Second, our two-time-scale framework overcomes a number of challenges faced by existing analytical methods in analyzing models with these novel features. These challenges include time-varying arrivals and extremely long service times. Third, analyzing the developed stochastic network model generates a set of useful managerial insights, which allow hospital managers to (i) identify strategies to reduce the waiting time and (ii) evaluate the trade-off between the benefit of reducing ED congestion and the cost from implementing certain policies. In particular, we identify early discharge policies that can eliminate the excessively long waiting times for patients requesting beds in the morning. In Part II of the thesis, we model the spread of influenza pandemics with a focus on identifying factors that may lead to multiple waves of outbreak. This line of research aims to provide insights and guidelines to public health officials in pandemic preparedness and response. In Chapter 6 we evaluate the impact of seasonality and viral mutation on the course of an influenza pandemic. In Chapter 7 we evaluate the impact of changes in social mixing patterns, particularly mass gatherings and holiday traveling, on the disease spread. In Chapters 6 and 7 we develop agent-based simulation models to capture disease spread across both time and space, where each agent represents an individual with certain socio-demographic characteristics and mixing patterns. The important contribution of our models is that the viral transmission characteristics and social contact patterns, which determine the scale and velocity of the disease spread, are no longer static. Simulating the developed models, we study the effect of the starting season of a pandemic, timing and degree of viral mutation, and duration and scale of mass gatherings and holiday traveling on the disease spread. We identify possible scenarios under which multiple outbreaks can occur during an influenza pandemic. Our study can help public health officials and other decision-makers predict the entire course of an influenza pandemic based on emerging viral characteristics at the initial stage, determine what data to collect, foresee potential multiple waves of attack, and better prepare response plans and intervention strategies, such as postponing or cancelling public gathering events.

Download or read book Discrete Event Simulation and System Dynamics for Management Decision Making written by Sally Brailsford and published by John Wiley & Sons. This book was released on 2014-03-31 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been a growing debate, particularly in the UK and Europe, over the merits of using discrete-event simulation (DES) and system dynamics (SD); there are now instances where both methodologies were employed on the same problem. This book details each method, comparing each in terms of both theory and their application to various problem situations. It also provides a seamless treatment of various topics--theory, philosophy, detailed mechanics, practical implementation--providing a systematic treatment of the methodologies of DES and SD, which previously have been treated separately.

Download or read book Complex Healthcare Systems and Information Technology written by Thomas R. Clancy and published by VDM Publishing. This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The benefits of information systems to enable improvement in core hospital processes have been researched extensively. Information systems alert users of potential medical errors, streamline processes, and support clinical decision-making. Although promising, the value of information systems to enable improved clinical quality and reduce costs has been mixed. Given the significant financial and social costs to implement clinical information sys-tems, predicting their impact on performance outcomes is crucial. Unfortu-na-tely, predicting the impact of clinical information systems is difficult because hospitals are considered "complex systems". A complex system is characterized by nonlinear interactive components, emergent phenomena, continuous and discontinuous change, and unpredictable outcomes. This book utilizes a novel approach to computational modeling by simulating the impact of best practices guidelines on performance metrics. The results provide a robust and low cost method for predicting what conditions need to exist for a successful implementation. This book is directed towards healthcare administrators, informaticists, nurses, physicans and other medical professionals.

Download or read book Community Based System Dynamics written by Peter S. Hovmand and published by Springer Science & Business Media. This book was released on 2013-11-09 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Community Based System Dynamics introduces researchers and practitioners to the design and application of participatory systems modeling with diverse communities. The book bridges community- based participatory research methods and rigorous computational modeling approaches to understanding communities as complex systems. It emphasizes the importance of community involvement both to understand the underlying system and to aid in implementation. Comprehensive in its scope, the volume includes topics that span the entire process of participatory systems modeling, from the initial engagement and conceptualization of community issues to model building, analysis, and project evaluation. Community Based System Dynamics is a highly valuable resource for anyone interested in helping to advance social justice using system dynamics, community involvement, and group model building, and helping to make communities a better place.

Download or read book Handbook of Healthcare Operations Management written by Brian T. Denton and published by Springer Science & Business Media. This book was released on 2013-02-28 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the Preface: Collectively, the chapters in this book address application domains including inpatient and outpatient services, public health networks, supply chain management, and resource constrained settings in developing countries. Many of the chapters provide specific examples or case studies illustrating the applications of operations research methods across the globe, including Africa, Australia, Belgium, Canada, the United Kingdom, and the United States. Chapters 1-4 review operations research methods that are most commonly applied to health care operations management including: queuing, simulation, and mathematical programming. Chapters 5-7 address challenges related to inpatient services in hospitals such as surgery, intensive care units, and hospital wards. Chapters 8-10 cover outpatient services, the fastest growing part of many health systems, and describe operations research models for primary and specialty care services, and how to plan for patient no-shows. Chapters 12 – 16 cover topics related to the broader integration of health services in the context of public health, including optimizing the location of emergency vehicles, planning for mass vaccination events, and the coordination among different parts of a health system. Chapters 17-18 address supply chain management within hospitals, with a focus on pharmaceutical supply management, and the challenges of managing inventory for nursing units. Finally, Chapters 19-20 provide examples of important and emerging research in the realm of humanitarian logistics.

Download or read book Decision Making in Healthcare Systems written by Tofigh Allahviranloo and published by Springer Nature. This book was released on 2023-12-31 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book chooses the topic which is due to the editors' experience in modeling projects in healthcare systems. Also, the transfer of experiences is the reason why mathematical modeling and decision making in the field of health are not given much attention. To this end, the new aspect of this book is the lack of reference needed to carry out projects in the field of health for researchers whose main expertise is not modeling. Students of health, mathematics, management, and industrial engineering fields are in the direct readership with this book. Different projects in the field of healthcare systems can use the topics presented in different chapters mentioned in this book.

Download or read book Building a Better Delivery System written by Institute of Medicine and published by National Academies Press. This book was released on 2005-09-20 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a joint effort between the National Academy of Engineering and the Institute of Medicine, this books attempts to bridge the knowledge/awareness divide separating health care professionals from their potential partners in systems engineering and related disciplines. The goal of this partnership is to transform the U.S. health care sector from an underperforming conglomerate of independent entities (individual practitioners, small group practices, clinics, hospitals, pharmacies, community health centers et. al.) into a high performance "system" in which every participating unit recognizes its dependence and influence on every other unit. By providing both a framework and action plan for a systems approach to health care delivery based on a partnership between engineers and health care professionals, Building a Better Delivery System describes opportunities and challenges to harness the power of systems-engineering tools, information technologies and complementary knowledge in social sciences, cognitive sciences and business/management to advance the U.S. health care system.

Download or read book Bioinformatics and Biomedical Engineering written by Ignacio Rojas and published by Springer. This book was released on 2019-04-30 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNBI 11465 and LNBI 11466 constitutes the proceedings of the 7th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019, held in Granada, Spain, in May 2019. The total of 97 papers presented in the proceedings, was carefully reviewed and selected from 301 submissions. The papers are organized in topical sections as follows: Part I: High-throughput genomics: bioinformatics tools and medical applications; omics data acquisition, processing, and analysis; bioinformatics approaches for analyzing cancer sequencing data; next generation sequencing and sequence analysis; structural bioinformatics and function; telemedicine for smart homes and remote monitoring; clustering and analysis of biological sequences with optimization algorithms; and computational approaches for drug repurposing and personalized medicine. Part II: Bioinformatics for healthcare and diseases; computational genomics/proteomics; computational systems for modelling biological processes; biomedical engineering; biomedical image analysis; and biomedicine and e-health.