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Modelling In Healthcare
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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]
Book Synopsis Decision Modelling for Health Economic Evaluation by : Andrew Briggs
Download or read book Decision Modelling for Health Economic Evaluation written by Andrew Briggs and published by OUP Oxford. This book was released on 2006-08-17 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: In financially constrained health systems across the world, increasing emphasis is being placed on the ability to demonstrate that health care interventions are not only effective, but also cost-effective. This book deals with decision modelling techniques that can be used to estimate the value for money of various interventions including medical devices, surgical procedures, diagnostic technologies, and pharmaceuticals. Particular emphasis is placed on the importance of the appropriate representation of uncertainty in the evaluative process and the implication this uncertainty has for decision making and the need for future research. This highly practical guide takes the reader through the key principles and approaches of modelling techniques. It begins with the basics of constructing different forms of the model, the population of the model with input parameter estimates, analysis of the results, and progression to the holistic view of models as a valuable tool for informing future research exercises. Case studies and exercises are supported with online templates and solutions. This book will help analysts understand the contribution of decision-analytic modelling to the evaluation of health care programmes. ABOUT THE SERIES: Economic evaluation of health interventions is a growing specialist field, and this series of practical handbooks will tackle, in-depth, topics superficially addressed in more general health economics books. Each volume will include illustrative material, case histories and worked examples to encourage the reader to apply the methods discussed, with supporting material provided online. This series is aimed at health economists in academia, the pharmaceutical industry and the health sector, those on advanced health economics courses, and health researchers in associated fields.
Download or read book Patient Flow written by Randolph Hall and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to improving healthcare through reducing delays experienced by patients. With an interdisciplinary approach, this new edition, divided into five sections, begins by examining healthcare as an integrated system. Chapter 1 provides a hierarchical model of healthcare, rising from departments, to centers, regions and the “macro system.” A new chapter demonstrates how to use simulation to assess the interaction of system components to achieve performance goals, and Chapter 3 provides hands-on methods for developing process models to identify and remove bottlenecks, and for developing facility plans. Section 2 addresses crowding and the consequences of delay. Two new chapters (4 and 5) focus on delays in emergency departments, and Chapter 6 then examines medical outcomes that result from waits for surgeries. Section 3 concentrates on management of demand. Chapter 7 presents breakthrough strategies that use real-time monitoring systems for continuous improvement. Chapter 8 looks at the patient appointment system, particularly through the approach of advanced access. Chapter 9 concentrates on managing waiting lists for surgeries, and Chapter 10 examines triage outside of emergency departments, with a focus on allied health programs Section 4 offers analytical tools and models to support analysis of patient flows. Chapter 11 offers techniques for scheduling staff to match patterns in patient demand. Chapter 12 surveys the literature on simulation modeling, which is widely used for both healthcare design and process improvement. Chapter 13 is new and demonstrates the use of process mapping to represent a complex regional trauma system. Chapter 14 provides methods for forecasting demand for healthcare on a region-wide basis. Chapter 15 presents queueing theory as a method for modeling waits in healthcare, and Chapter 16 focuses on rapid delivery of medication in the event of a catastrophic event. Section 5 focuses on achieving change. Chapter 17 provides a diagnostic for assessing the state of a hospital and using the state assessment to select improvement strategies. Chapter 18 demonstrates the importance of optimizing care as patients transition from one care setting to the next. Chapter 19 is new and shows how to implement programs that improve patient satisfaction while also improving flow. Chapter 20 illustrates how to evaluate the overall portfolio of patient diagnostic groups to guide system changes, and Chapter 21 provides project management tools to guide the execution of patient flow projects.
Book Synopsis Probabilistic Modeling in Bioinformatics and Medical Informatics by : Dirk Husmeier
Download or read book Probabilistic Modeling in Bioinformatics and Medical Informatics written by Dirk Husmeier and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
Book Synopsis Process Modeling and Management for Healthcare by : Carlo Combi
Download or read book Process Modeling and Management for Healthcare written by Carlo Combi and published by CRC Press. This book was released on 2017-11-09 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the Foreword: "[This book] provides a comprehensive overview of the fundamental concepts in healthcare process management as well as some advanced topics in the cutting-edge research of the closely related areas. This book is ideal for graduate students and practitioners who want to build the foundations and develop novel contributions in healthcare process modeling and management." --Christopher Yang, Drexel University Process modeling and process management are traversal disciplines which have earned more and more relevance over the last two decades. Several research areas are involved within these disciplines, including database systems, database management, information systems, ERP, operations research, formal languages, and logic. Process Modeling and Management for Healthcare provides the reader with an in-depth analysis of what process modeling and process management techniques can do in healthcare, the major challenges faced, and those challenges remaining to be faced. The book features contributions from leading authors in the field. The book is structured into two parts. Part one covers fundamentals and basic concepts in healthcare. It explores the architecture of a process management environment, the flexibility of a process model, and the compliance of a process model. It also features a real application domain of patients suffering from age-related macular degeneration. Part two of the book includes advanced topics from the leading frontiers of scientific research on process management and healthcare. This section of the book covers software metrics to measure features of the process model as a software artifact. It includes process analysis to discover the formal properties of the process model prior to deploying it in real application domains. Abnormal situations and exceptions, as well as temporal clinical guidelines, are also presented in depth Pro.
Book Synopsis Advanced Prognostic Predictive Modelling in Healthcare Data Analytics by : Sudipta Roy
Download or read book Advanced Prognostic Predictive Modelling in Healthcare Data Analytics written by Sudipta Roy and published by Springer Nature. This book was released on 2021-04-22 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis. The use of prognostic modelling as predictive models to solve complex problems of data mining and analysis in health care is the feature of this book. The book examines the recent technologies and studies that reached the practical level and becoming available in preclinical and clinical practices in computational intelligence. The main areas of interest covered in this book are highest quality, original work that contributes to the basic science of processing, analysing and utilizing all aspects of advanced computational prognostic modelling in healthcare image and data analysis.
Book Synopsis Healthcare Risk Adjustment and Predictive Modeling by : Ian G. Duncan
Download or read book Healthcare Risk Adjustment and Predictive Modeling written by Ian G. Duncan and published by ACTEX Publications. This book was released on 2011 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is listed on the Course of Reading for SOA Fellowship study in the Group & Health specialty track. Healthcare Risk Adjustment and Predictive Modeling provides a comprehensive guide to healthcare actuaries and other professionals interested in healthcare data analytics, risk adjustment and predictive modeling. The book first introduces the topic with discussions of health risk, available data, clinical identification algorithms for diagnostic grouping and the use of grouper models. The second part of the book presents the concept of data mining and some of the common approaches used by modelers. The third and final section covers a number of predictive modeling and risk adjustment case-studies, with examples from Medicaid, Medicare, disability, depression diagnosis and provider reimbursement, as well as the use of predictive modeling and risk adjustment outside the U.S. For readers who wish to experiment with their own models, the book also provides access to a test dataset.
Book Synopsis Modeling and Simulation in the Medical and Health Sciences by : John A. Sokolowski
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.
Book Synopsis Applications Of Epidemiological Models To Public Health Policymaking: The Role Of Heterogeneity In Model Predictions by : Zhilan Feng
Download or read book Applications Of Epidemiological Models To Public Health Policymaking: The Role Of Heterogeneity In Model Predictions written by Zhilan Feng and published by World Scientific. This book was released on 2014-04-16 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical models can be very helpful to understand the transmission dynamics of infectious diseases. This book presents examples of epidemiological models and modeling tools that can assist policymakers to assess and evaluate disease control strategies.
Book Synopsis Patient Safety and Quality by : Ronda Hughes
Download or read book Patient Safety and Quality written by Ronda Hughes and published by Department of Health and Human Services. This book was released on 2008 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Nurses play a vital role in improving the safety and quality of patient car -- not only in the hospital or ambulatory treatment facility, but also of community-based care and the care performed by family members. Nurses need know what proven techniques and interventions they can use to enhance patient outcomes. To address this need, the Agency for Healthcare Research and Quality (AHRQ), with additional funding from the Robert Wood Johnson Foundation, has prepared this comprehensive, 1,400-page, handbook for nurses on patient safety and quality -- Patient Safety and Quality: An Evidence-Based Handbook for Nurses. (AHRQ Publication No. 08-0043)." - online AHRQ blurb, http://www.ahrq.gov/qual/nurseshdbk/
Book Synopsis Emerging health care delivery models in the US and how they improve the quality of care by : James Mageto
Download or read book Emerging health care delivery models in the US and how they improve the quality of care written by James Mageto and published by GRIN Verlag. This book was released on 2017-06-26 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essay from the year 2017 in the subject Health - Public Health, University of New Orleans, language: English, abstract: This article majorly focusses on value-based healthcare delivery model and describes what value-based delivery model means and entails and goes further to explain in details the four types of value-based delivery model, which are Accountable Care Organization (ACO), Patient-Centered Medical Home (PCMH), Pay for Performance (P4P) and Bundled Payments. Value-based healthcare delivery model is a solution that is emerging and it aims at addressing the healthcare costs that keep on rising and to make it cheaper and easier for people to find the care they need. In this model, hospitals and their doctors get payments for keeping people healthy and for ensuring the health of chronic diseases patients gets to improve in an evidence-based approach and a cost effective manner. The article further explains that this value-based model is designed around and for patients, who in the end benefit from a team concerned with coordination of their health and give the correct information to help them get the right care across our healthcare system. All individual patient needs are met by the medical care teams whether they be chronic, acute or preventive. The article concludes that whatever the value-based model you choose, all of them aim at delivering better health in a more affordable way. Moreover, the way a value-based care will look depends on what approach the doctors and healthcare systems take in its implementation. Some of the models are very visible while others are invisible and therefore you may get care under one of these models and never even know that you have. I therefore find this article very descriptive on my topic of interest and is gives very vital information that I need for my research paper.
Book Synopsis Patient Engagement by : Guendalina Graffigna
Download or read book Patient Engagement written by Guendalina Graffigna and published by Walter de Gruyter GmbH & Co KG. This book was released on 2016-01-01 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Patient engagement should be envisaged as a key priority today to innovate healthcare services delivery and to make it more effective and sustainable. The experience of engagement is a key qualifier of the exchange between the demand (i.e. citizens/patients) and the supply process of healthcare services. To understand and detect the strategic levers that sustain a good quality of patients’ engagement may thus allow not only to improve clinical outcomes, but also to increase patients’ satisfaction and to reduce the organizational costs of the delivery of services. By assuming a relational marketing perspective, the book offers practical insights about the developmental process of patients’ engagement, by suggesting concrete tools for assessing the levels of patients’ engagement and strategies to sustain it. Crucial resources to implement these strategies are also the new technologies that should be (1) implemented according to precise guidelines and (2) designed according to a user-centered design process. Furthermore, the book describes possible fields of patients’ engagement application by describing the best practices and experiences matured in different fields
Book Synopsis Evidence-Based Health Care Management by : Thomas T.H. Wan
Download or read book Evidence-Based Health Care Management written by Thomas T.H. Wan and published by Springer Science & Business Media. This book was released on 2002 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The primary goals of the book are to present advanced principles of health services management research and to familiarize students with the multivariate analytic methods and procedures now in use in scientific research on health care management. The hope is to help health care managers become better equipped to use causal modeling techniques for problem solving and decision making.".
Book Synopsis The Diabetic Patient Agent by : Raman Paranjape
Download or read book The Diabetic Patient Agent written by Raman Paranjape and published by Springer. This book was released on 2017-12-30 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a pioneering approach to modeling the human diabetic patient using a software agent. It is based on two MASc (Master of Applied Science) theses: one looking at the evolution of the patient agent in time, and another looking the interaction of the patient agent with the healthcare system. It shows that the software agent evolves in a manner analogous to the human patient and exhibits typical attributes of the illness such as reacting to food consumption, medications, and activity. This agent model can be used in a number of different ways, including as a prototype for a specific human patient with the purpose of helping to identify when that patient’s condition deviates from normal variations. The software agent can also be used to study the interaction between the human patient and the health care system. This book is of interest to anyone involved in the management of diabetic patients or in societal research into the management of diabetes. The diabetic patient agent was developed using the Ackerman model for diabetes, but this model can be easily adapted for any other model subject with the necessary physiological data to support that model.
Book Synopsis Knowledge Modelling and Big Data Analytics in Healthcare by : Mayuri Mehta
Download or read book Knowledge Modelling and Big Data Analytics in Healthcare written by Mayuri Mehta and published by CRC Press. This book was released on 2021-12-08 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals. The editors connect four contemporary areas of research rarely brought together in one book: artificial intelligence, big data analytics, knowledge modelling, and healthcare. They present state-of-the-art research from the healthcare sector, including research on medical imaging, healthcare analysis, and the applications of artificial intelligence in drug discovery. This book is intended for data scientists, academicians, and industry professionals in the healthcare sector.
Book Synopsis Value-Based Healthcare and Payment Models by : Grace E. Terrell
Download or read book Value-Based Healthcare and Payment Models written by Grace E. Terrell and published by . This book was released on 2019-11-15 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW GUIDE DECODES VALUE-BASED CARE AND PAYMENT MODELS As value-based care is coming of age, deciding how to start can be an overwhelming task. Risks are high and success with the new models is challenging and time consuming. This book fills an important need by providing concrete and proven strategies to aid in an organization's successful transformation. The book is filled with practical, no-nonsense advice on the shift to value-based care in both the private and public healthcare sectors. This is the time when healthcare stakeholders need to rethink their own added-value strategies in a manner that best serves patients and providers alike. In the complicated world of payment and delivery system reform, this book deconstructs the most challenging concepts for the novice yet provides sophisticated insights for even the most seasoned executive. BONUS! The authors also lay out high-value strategies for 20 different subspecialties with specialty-specific changes in the way medicine is practiced and paid for.
Book Synopsis Stochastic Modeling And Analytics In Healthcare Delivery Systems by : Jingshan Li
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.
