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Statistical Analysis for Decision Makers in Healthcare

Statistical Analysis for Decision Makers in Healthcare
Author: Jeffrey C. Bauer
Publisher: CRC Press
Total Pages: 184
Release: 2017-08-09
Genre: Business & Economics
ISBN: 1439800774

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Americans are bombarded with statistical data each and every day, and healthcare professionals are no exception. All segments of healthcare rely on data provided by insurance companies, consultants, research firms, and the federal government to help them make a host of decisions regarding the delivery of medical services. But while these health pro


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.


Evidence Synthesis for Decision Making in Healthcare

Evidence Synthesis for Decision Making in Healthcare
Author: Nicky J. Welton
Publisher: John Wiley & Sons
Total Pages: 296
Release: 2012-04-12
Genre: Mathematics
ISBN: 111830540X

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In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address these issues and it is desirable to synthesize evidence from multiple sources. This book aims to provide a practical guide to evidence synthesis for the purpose of decision making, starting with a simple single parameter model, where all studies estimate the same quantity (pairwise meta-analysis) and progressing to more complex multi-parameter structures (including meta-regression, mixed treatment comparisons, Markov models of disease progression, and epidemiology models). A comprehensive, coherent framework is adopted and estimated using Bayesian methods. Key features: A coherent approach to evidence synthesis from multiple sources. Focus is given to Bayesian methods for evidence synthesis that can be integrated within cost-effectiveness analyses in a probabilistic framework using Markov Chain Monte Carlo simulation. Provides methods to statistically combine evidence from a range of evidence structures. Emphasizes the importance of model critique and checking for evidence consistency. Presents numerous worked examples, exercises and solutions drawn from a variety of medical disciplines throughout the book. WinBUGS code is provided for all examples. Evidence Synthesis for Decision Making in Healthcare is intended for health economists, decision modelers, statisticians and others involved in evidence synthesis, health technology assessment, and economic evaluation of health technologies.


Measurement and Analysis in Transforming Healthcare Delivery

Measurement and Analysis in Transforming Healthcare Delivery
Author: Peter J. Fabri
Publisher: Springer
Total Pages: 189
Release: 2016-07-20
Genre: Medical
ISBN: 3319408127

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This volume provides the important concepts necessary for a physician to participate in a reengineering process, develop decision-making skills based on probability and logic rather than “rules,” and to measure and analyze meaningful outcomes of care delivery. This approach has been developed over ten years in a medical student-based program and has been enthusiastically embraced by medical students without backgrounds in engineering or statistics. More specifically, this text will introduce physicians to relevant and available computer software, combined with an in depth knowledge of measurement, variation, and uncertainty. It provides a basis for the transformation of data into information, information into knowledge, and knowledge into wisdom. The first quarter of the book will address understanding and visualizing data, using statistical and graphic analysis. The next quarter addresses the fundamentals of applied statistics, and the application of conditional probability to clinical decision making. The next quarter addresses the four “cornerstones” of modern analytics: regression, classification, association analysis, and clustering. The final section addresses the identification of outliers and their importance in understanding, the assessment of cause and effect and the limitations associated with retrospective data analysis. This toolbox will prepare the interested physician to actively engage in the identification of problem areas, the design of process-based solutions, and the continuous assessment of outcomes of clinical practice. Armed with this toolbox, the reader will be “prepared to make a difference” in the rapidly changing world of healthcare delivery. Measurement and Analysis in Transforming Healthcare Delivery is an excellent resource for general practitioners, health administrators, and all medical professionals interacting with healthcare delivery. /div


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.


Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis

Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis
Author: Cerrito, Patricia
Publisher: IGI Global
Total Pages: 370
Release: 2010-06-30
Genre: Computers
ISBN: 1615209069

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"This book shows how the investigation of healthcare databases can be used to examine physician decisions to develop evidence-based treatment guidelines that optimize patient outcomes"--Provided by publisher.


Medical Decision Making

Medical Decision Making
Author: Stefan Felder
Publisher: Springer
Total Pages: 262
Release: 2017-03-30
Genre: Business & Economics
ISBN: 3662534320

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This textbook offers a comprehensive analysis of medical decision making under uncertainty by combining Test Information Theory with Expected Utility Theory. The book shows how the parameters of Bayes’ theorem can be combined with a value function of health states to arrive at informed test and treatment decisions. The authors distinguish between risk-neutral, risk-averse and prudent decision makers and demonstrate the effects of risk preferences on physicians’ decisions. They analyze individual tests, multiple tests and endogenous tests where the test outcome is chosen by the decision maker. Moreover, the topic is examined in the context of health economics by introducing a trade-off between enjoying health and consuming other goods, so that the extent of treatment and thus the potential improvement in the patient’s health becomes endogenous. Finally, non-expected utility models of choice under risk and uncertainty (i.e. ambiguity) are presented. While these models can explain observed test and treatment decisions, they are not suitable for normative analyses aimed at providing guidance on medical decision making.


Decision Making in Healthcare Systems

Decision Making in Healthcare Systems
Author: Tofigh Allahviranloo
Publisher: Springer Nature
Total Pages: 441
Release: 2023-12-31
Genre: Technology & Engineering
ISBN: 3031467353

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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.


Data-Guided Healthcare Decision Making

Data-Guided Healthcare Decision Making
Author: Ramalingam Shanmugam
Publisher: Cambridge University Press
Total Pages: 529
Release: 2023-05-31
Genre: Medical
ISBN: 1009212001

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How does data evidence matter in decision-making in healthcare? How do you implement and maintain cost effective healthcare operations? Do decision trees help to sharpen decision making? This book will answer these questions, demystifying the many questions by clearly showing how to analyse data and how to interpret the results – vital skills for anyone who will go on to work in health administration in hospitals, clinics, pharmaceutical or insurance industries. Written by an expert in health and medical informatics, this book introduces readers to the fundamentals of operational decision making by illustrating the ideas and tools to reach optimal healthcare, drawing on numerous healthcare data sets from multiple sources. Aimed at an audience of graduate students and lecturers in Healthcare Administration and Business Administration courses and heavily illustrated throughout, this book includes up-to-date concepts, new methodologies and interpretations using widely available software: Excel, Microsoft Mathematics, MathSolver and JASP.


Value of Information for Healthcare Decision Making

Value of Information for Healthcare Decision Making
Author: Anna Heath
Publisher:
Total Pages: 0
Release: 2024
Genre: Clinical medicine
ISBN: 9780367741112

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"Value of Information for Healthcare Decision Making introduces the concept of Value of Information (VOI's) use in health policy decision-making to determine the sensitivity of decisions to assumptions, and to prioritise and design future research. These methods, and their use in cost-effectiveness analysis, are increasingly acknowledged by health technology assessment authorities as vital. Key Features: Provides a comprehensive overview of VOI Simplifies VOI Showcases state-of-the art techniques for computing VOI Includes R statistical software package Provides results when using VOI methods Uses realistic decision model to illustrate key concepts The primary audience for this book is health economic modellers and researchers, in industry, government, or academia, who wish to perform VOI analysis in health economic evaluations. It is relevant for postgraduate researchers and students in health economics or medical statistics who are required to learn the principles of VOI or undertake VOI analyses in their projects. The overall goal is to improve the understanding of these methods and make them easier to use"--