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Advanced Decision Making Methods Applied to Health Care

Advanced Decision Making Methods Applied to Health Care
Author: Elena Tanfani
Publisher: Springer Science & Business Media
Total Pages: 239
Release: 2012-06-12
Genre: Political Science
ISBN: 8847023211

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The most difficult part of making decisions in the health care field on all levels (national, regional, institutional, patient) is linked to the very complexity of the system itself, to the intrinsic uncertainty involved and its dynamic nature. This requires not only the ability to analyze and interpret a large amount of information but also arrange it so that it becomes a cognitive base for appropriate decision-making. Moreover, decisions in the health care field are subjected to many challenges and constraints: fast change and uncertain outcomes, aging population, increasing citizen expectations, equity considerations and limited resources. Operations research, statistical and economic-related quantitative methods supply these decisions making tools and methodology. The contributed book presents a collection of applications to concrete situations detailing the problem area, the methodology employed, the implementation and results. Each topic addressed in the book will be structured in such a way that an interdisciplinary and wide audience will be able to use the materials presented. As an example the book chapters will address health policies issues, planning health services, epidemiology and disease modelling, home-care modelling, logistics in health care, capacity planning, quality and appropriateness.


Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare

Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare
Author: Mohamed Abdel-Basset
Publisher: CRC Press
Total Pages: 275
Release: 2023-05-09
Genre: Computers
ISBN: 1000867897

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Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare, 1st Edition, is an excellent compilation of current and advanced Multi-Criteria Decision Making (MCDM) techniques and their applications to multiple recent and innovative healthcare analytics problems. The healthcare business has expanded rapidly in recent years, and one of the top priorities in the sector is now the efficacy and efficiency of the various healthcare delivery systems. The entire performance of hospitals must be improved if the healthcare business wants to see an improvement in both the satisfaction and safety of their patients. Finding the best medical facility among many of its competitors may be difficult since there are so many, and they are so highly diverse in terms of features and performance trade-offs. This book has brought together the introductory discussions, fundamental concepts, challenges, and insights of multiple advanced healthcare management problems along with the application of MCDM to obtain the best option among multiple alternatives. A few important takeaways from this book are: Developing an efficient model for supplier performance evaluation and selection in healthcare industries with incomplete information. A computational reliance approach for assessing healthcare service quality aspects and their measurement in an uncertain environment. An efficient and provable approach for recommending suitable mobile healthcare products under uncertain environments. Establishing a decision-making strategy to select healthcare waste treatment methods. Assessing the usability of mHealth applications in practice related to type 2 diabetes. The successful outcome of this book will enable a decision-maker or practitioner to pick a suitable MCDM technique when making decisions to prioritize the selection criteria of any healthcare-related problems to ensure a sustainable practice. .


Decision Making in Health and Medicine

Decision Making in Health and Medicine
Author: M. G. Myriam Hunink
Publisher: Cambridge University Press
Total Pages: 447
Release: 2014-10-16
Genre: Education
ISBN: 1107690471

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A guide for everyone involved in medical decision making to plot a clear course through complex and conflicting benefits and risks.


Achieving Person-Centred Health Systems

Achieving Person-Centred Health Systems
Author: Ellen Nolte
Publisher: Cambridge University Press
Total Pages: 421
Release: 2020-08-06
Genre: Political Science
ISBN: 1108803725

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The idea of person-centred health systems is widely advocated in political and policy declarations to better address health system challenges. A person-centred approach is advocated on political, ethical and instrumental grounds and believed to benefit service users, health professionals and the health system more broadly. However, there is continuing debate about the strategies that are available and effective to promote and implement 'person-centred' approaches. This book brings together the world's leading experts in the field to present the evidence base and analyse current challenges and issues. It examines 'person-centredness' from the different roles people take in health systems, as individual service users, care managers, taxpayers or active citizens. The evidence presented will not only provide invaluable policy advice to practitioners and policymakers working on the design and implementation of person-centred health systems but will also be an excellent resource for academics and graduate students researching health systems in Europe. This title is available as Open Access on Cambridge Core.


Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare

Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
Author: Ilker Ozsahin
Publisher: Bentham Science Publishers
Total Pages: 316
Release: 2021-11-18
Genre: Computers
ISBN: 168108872X

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This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It starts with an introduction to the topic and presents chapters which progressively explain decision-making theory that helps solve problems which have multiple criteria that can affect the outcome of a decision. Key aspects of the subject such as machine learning in healthcare, prediction techniques, mathematical models and classification of healthcare problems are included along with chapters which delve in to advanced topics on data science (deep-learning, artificial neural networks, etc.) and practical examples (influenza epidemiology and retinoblastoma treatment analysis). Key Features: - Introduces readers to the basics of AI and ML in expert systems for healthcare - Focuses on a problem solving approach to the topic - Provides information on relevant decision-making theory and data science used in the healthcare industry - Includes practical applications of AI and ML for advanced readers - Includes bibliographic references for further reading The reference is an accessible source of knowledge on multi-criteria decision-support systems in healthcare for medical consultants, healthcare policy makers, researchers in the field of medical biotechnology, oncology and pharmaceutical research and development.


Shared Decision-making in Health Care

Shared Decision-making in Health Care
Author: Glyn Elwyn
Publisher: Oxford University Press
Total Pages: 337
Release: 2016
Genre: Medical
ISBN: 019872344X

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Over the past decade health care systems around the world have placed increasing importance on the relationship between patient choice and clinical decision-making. In the years since the publication of the second edition of Shared Decision Making in Health Care, there have been significant new developments in the field, most notably in the US where 'Obamacare' puts shared decision making (SDM) at the centre of the 2009 Affordable Care Act. This new edition explores shared decision making by examining, from practical and theoretical perspectives, what should comprise an effective decision-making process. It also looks at the benefits and potential difficulties that arise when patients and clinicians share health care decisions. Written by leading experts from around the world and utilizing high quality evidence, the book provides an up-to-date reference with real-word context to the topics discussed, and in-depth coverage of the practicalities of implementing and teaching SDM. The breadth of information in Shared Decision Making in Health Care makes it the definitive source of expert knowledge for healthcare policy makers. As health care systems adapt to increasingly collaborative patient-clinician care frameworks, this will also prove a useful guide to SDM for clinicians of all disciplines.


Decision Making in Health Care

Decision Making in Health Care
Author: Gretchen B. Chapman
Publisher: Cambridge University Press
Total Pages: 456
Release: 2000
Genre: Medical
ISBN: 9780521541244

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Decision Making in Health Care, first published in 2000, is a comprehensive overview of the field of medical decision making.


Disease Control Priorities in Developing Countries

Disease Control Priorities in Developing Countries
Author: Dean T. Jamison
Publisher: World Bank Publications
Total Pages: 1449
Release: 2006-04-02
Genre: Medical
ISBN: 0821361805

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Based on careful analysis of burden of disease and the costs ofinterventions, this second edition of 'Disease Control Priorities in Developing Countries, 2nd edition' highlights achievable priorities; measures progresstoward providing efficient, equitable care; promotes cost-effectiveinterventions to targeted populations; and encourages integrated effortsto optimize health. Nearly 500 experts - scientists, epidemiologists, health economists,academicians, and public health practitioners - from around the worldcontributed to the data sources and methodologies, and identifiedchallenges and priorities, resulting in this integrated, comprehensivereference volume on the state of health in developing countries.


Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering

Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering
Author: Ilker Ozsahin
Publisher: Academic Press
Total Pages: 334
Release: 2021-03-25
Genre: Computers
ISBN: 0128240873

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Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering contains several practical applications on how decision-making theory could be used in solving problems relating to the selection of best alternatives. The book focuses on assisting decision-makers (government, organizations, companies, general public, etc.) in making the best and most appropriate decision when confronted with multiple alternatives. The purpose of the analytical MCDM techniques is to support decision makers under uncertainty and conflicting criteria while making logical decisions. The knowledge of the alternatives of the real-life problems, properties of their parameters, and the priority given to the parameters have a great effect on consequences in decision-making. In this book, the application of MCDM has been provided for the real-life problems in health and biomedical engineering issues. Provides a comprehensive analysis and application multi-criteria decision-making methods Presents detail information about MCDM and their usage Covers state-of-the-art MCDM methods and offers applications of MCDM for health and biomedical engineering purposes


Multi-Criteria Decision Analysis to Support Healthcare Decisions

Multi-Criteria Decision Analysis to Support Healthcare Decisions
Author: Kevin Marsh
Publisher: Springer
Total Pages: 0
Release: 2017-04-26
Genre: Medical
ISBN: 9783319475387

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Representing the first collection on the topic, this book builds from foundations to case studies, to future prospects, providing the reader with a rich and comprehensive understanding of the use of multi-criteria decision analysis (MCDA) in healthcare. The first section of the collection presents the foundations of MCDA as it is applied to healthcare decisions, providing guidance on the ethical and theoretical underpinnings of MCDA and how to select MCDA methods appropriate to different decision settings. Section two comprises a collection of case studies spanning the decision continuum, including portfolio development, benefit–risk assessment, health technology assessment, priority setting, resource optimisation, clinical practice and shared decision making. Section three explores future directions in the application of MCDA to healthcare and identifies opportunities for further research to support these.