Data Guided Healthcare Decision Making

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Data-Guided Healthcare Decision Making

Author : Ramalingam Shanmugam
Publisher : Cambridge University Press
Page : 529 pages
File Size : 41,9 Mb
Release : 2023-05-31
Category : Medical
ISBN : 9781009212007

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Data-Guided Healthcare Decision Making by Ramalingam Shanmugam Pdf

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.

Data-Guided Healthcare Decision Making

Author : Ramalingam Shanmugam
Publisher : Cambridge University Press
Page : 529 pages
File Size : 54,7 Mb
Release : 2023-05-31
Category : Medical
ISBN : 9781009212014

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Data-Guided Healthcare Decision Making by Ramalingam Shanmugam Pdf

This book effectively exposes and illustrates the ideas and tools for optimal healthcare decisions taken from evidence.

The Health Care Data Guide

Author : Lloyd P. Provost,Sandra K. Murray
Publisher : John Wiley & Sons
Page : 659 pages
File Size : 52,7 Mb
Release : 2022-05-26
Category : Medical
ISBN : 9781119690122

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The Health Care Data Guide by Lloyd P. Provost,Sandra K. Murray Pdf

An Essential text on transforming raw data into concrete health care improvements Now in its second edition, The Health Care Data Guide: Learning from Data for Improvement delivers a practical blueprint for using available data to improve healthcare outcomes. In the book, a team of distinguished authors explores how health care practitioners, researchers, and other professionals can confidently plan and implement health care enhancements and changes, all while ensuring those changes actually constitute an improvement. This book is the perfect companion resource to The Improvement Guide: A Practical Approach to Enhancing Organizational Peformance, Second Edition, and offers fulsome discussions of how to use data to test, adapt, implement, and scale positive organizational change. The Health Care Data Guide: Learning from Data for Improvement, Second Edition provides: Easy to use strategies for learning more readily from existing health care data Clear guidance on the most useful graph for different types of data used in health care A step-by-step method for making use of highly aggregated data for improvement Examples of using patient-level data in care Multiple methods for making use of patient and other feedback data A vastly better way to view data for executive leadership Solutions for working with rare events data, seasonality and other pesky issues Use of improvement methods with epidemic data Improvement case studies using data for learning A must read resource for those committed to improving health care including allied health professionals in all aspects of health care, physicians, managers, health care leaders, and researchers.

Evidence Synthesis for Decision Making in Healthcare

Author : Nicky J. Welton,Alexander J. Sutton,Nicola Cooper,Keith R. Abrams,A. E. Ades
Publisher : John Wiley & Sons
Page : 296 pages
File Size : 50,5 Mb
Release : 2012-05-29
Category : Mathematics
ISBN : 9780470061091

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Evidence Synthesis for Decision Making in Healthcare by Nicky J. Welton,Alexander J. Sutton,Nicola Cooper,Keith R. Abrams,A. E. Ades Pdf

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.

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

Author : Cerrito, Patricia,Cerrito, John
Publisher : IGI Global
Page : 370 pages
File Size : 53,5 Mb
Release : 2010-06-30
Category : Computers
ISBN : 9781615209064

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Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis by Cerrito, Patricia,Cerrito, John Pdf

"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.

Priority Setting Toolkit

Author : Craig Mitton,Cam Donaldson
Publisher : John Wiley & Sons
Page : 183 pages
File Size : 45,7 Mb
Release : 2009-02-05
Category : Medical
ISBN : 9781405146777

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Priority Setting Toolkit by Craig Mitton,Cam Donaldson Pdf

This work provides a guide to how economics can be used to manage scarcity of resources in health services. It outlines the principles of economics in a non-technical manner, before going on to address the issues of how to apply the principles in day to day health services management.

Disease Control Priorities in Developing Countries

Author : Dean T. Jamison,Joel G. Breman,Anthony R. Measham,George Alleyne,Mariam Claeson,David B. Evans,Prabhat Jha,Anne Mills,Philip Musgrove
Publisher : World Bank Publications
Page : 1449 pages
File Size : 43,5 Mb
Release : 2006-04-02
Category : Medical
ISBN : 9780821361801

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Disease Control Priorities in Developing Countries by Dean T. Jamison,Joel G. Breman,Anthony R. Measham,George Alleyne,Mariam Claeson,David B. Evans,Prabhat Jha,Anne Mills,Philip Musgrove Pdf

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.

Encyclopedia of Business Analytics and Optimization

Author : Wang, John
Publisher : IGI Global
Page : 2754 pages
File Size : 53,6 Mb
Release : 2014-02-28
Category : Business & Economics
ISBN : 9781466652033

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Encyclopedia of Business Analytics and Optimization by Wang, John Pdf

As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.

Data-Driven Healthcare

Author : Laura B. Madsen
Publisher : John Wiley & Sons
Page : 224 pages
File Size : 54,6 Mb
Release : 2014-10-27
Category : Business & Economics
ISBN : 9781118772218

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Data-Driven Healthcare by Laura B. Madsen Pdf

Healthcare is changing, and data is the catalyst Data is taking over in a powerful way, and it's revolutionizing the healthcare industry. You have more data available than ever before, and applying the right analytics can spur growth. Benefits extend to patients, providers, and board members, and the technology can make centralized patient management a reality. Despite the potential for growth, many in the industry and government are questioning the value of data in health care, wondering if it's worth the investment. Data-Driven Healthcare: How Analytics and BI are Transforming the Industry tackles the issue and proves why BI is not only worth it, but necessary for industry advancement. Healthcare BI guru Laura Madsen challenges the notion that data have little value in healthcare, and shows how BI can ease regulatory reporting pressures and streamline the entire system as it evolves. Madsen illustrates how a data-driven organization is created, and how it can transform the industry. Learn why BI is a boon to providers Create powerful infographics to communicate data more effectively Find out how Big Data has transformed other industries, and how it applies to healthcare Data-Driven Healthcare: How Analytics and BI are Transforming the Industry provides tables, checklists, and forms that allow you to take immediate action in implementing BI in your organization. You can't afford to be behind the curve. The industry is moving on, with or without you. Data-Driven Healthcare: How Analytics and BI are Transforming the Industry is your guide to utilizing data to advance your operation in an industry where data-fueled growth will be the new norm.

Patient Safety and Quality

Author : Ronda Hughes
Publisher : Department of Health and Human Services
Page : 592 pages
File Size : 55,6 Mb
Release : 2008
Category : Medical
ISBN : IOWA:31858055672798

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Patient Safety and Quality by Ronda Hughes Pdf

"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/

Analytics and Decision Support in Health Care Operations Management

Author : Yasar A. Ozcan
Publisher : John Wiley & Sons
Page : 600 pages
File Size : 49,8 Mb
Release : 2017-04-10
Category : Medical
ISBN : 9781119219811

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Analytics and Decision Support in Health Care Operations Management by Yasar A. Ozcan Pdf

A compendium of health care quantitative techniques based in Excel Analytics and Decision Support in Health Care Operations is a comprehensive introductory guide to quantitative techniques, with practical Excel-based solutions for strategic health care management. This new third edition has been extensively updated to reflect the continuously evolving field, with new coverage of predictive analytics, geographical information systems, flow process improvement, lean management, six sigma, health provider productivity and benchmarking, project management, simulation, and more. Each chapter includes additional new exercises to illustrate everyday applications, and provides clear direction on data acquisition under a variety of hospital information systems. Instructor support includes updated Excel templates, PowerPoint slides, web based chapter end supplements, and data banks to facilitate classroom instruction, and working administrators will appreciate the depth and breadth of information with clear applicability to everyday situations. The ability to use analytics effectively is a critical skill for anyone involved in the study or practice of health services administration. This book provides a comprehensive set of methods spanning tactical, operational, and strategic decision making and analysis for both current and future health care administrators. Learn critical analytics and decision support techniques specific to health care administration Increase efficiency and effectiveness in problem-solving and decision support Locate appropriate data in different commonly-used hospital information systems Conduct analyses, simulations, productivity measurements, scheduling, and more From statistical techniques like multiple regression, decision-tree analysis, queuing and simulation, to field-specific applications including surgical suite scheduling, roster management, quality monitoring, and more, analytics play a central role in health care administration. Analytics and Decision Support in Health Care Operations provides essential guidance on these critical skills that every professional needs.

Fundamentals of Clinical Data Science

Author : Pieter Kubben,Michel Dumontier,Andre Dekker
Publisher : Springer
Page : 219 pages
File Size : 55,6 Mb
Release : 2018-12-21
Category : Medical
ISBN : 9783319997131

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Fundamentals of Clinical Data Science by Pieter Kubben,Michel Dumontier,Andre Dekker Pdf

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

Medical Decision Making

Author : Alan Schwartz,George Bergus
Publisher : Cambridge University Press
Page : 241 pages
File Size : 54,6 Mb
Release : 2008-05-26
Category : Medical
ISBN : 9781107320062

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Medical Decision Making by Alan Schwartz,George Bergus Pdf

Decision making is a key activity, perhaps the most important activity, in the practice of healthcare. Although physicians acquire a great deal of knowledge and specialised skills during their training and through their practice, it is in the exercise of clinical judgement and its application to individual patients that the outstanding physician is distinguished. This has become even more relevant as patients become increasingly welcomed as partners in a shared decision making process. This book translates the research and theory from the science of decision making into clinically useful tools and principles that can be applied by clinicians in the field. It considers issues of patient goals, uncertainty, judgement, choice, development of new information, and family and social concerns in healthcare. It helps to demystify decision theory by emphasizing concepts and clinical cases over mathematics and computation.

Statistical Analysis for Decision Makers in Healthcare, Second Edition

Author : Jeffrey C. Bauer
Publisher : CRC Press
Page : 160 pages
File Size : 50,5 Mb
Release : 2009-05-19
Category : Business & Economics
ISBN : 1439800774

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Statistical Analysis for Decision Makers in Healthcare, Second Edition by Jeffrey C. Bauer Pdf

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 professionals rely on data, do they really make the best use of the information? Not if they fail to understand whether the assumptions behind the formulas generating the numbers make sense. Not if they don’t understand that the world of healthcare is flooded with inaccurate, misleading, and even dangerous statistics. Statistical Analysis for Decision Makers in Healthcare: Understanding and Evaluating Critical Information in a Competitive Market, Second Edition explains the fundamental concepts of statistics, as well as their common uses and misuses. Without jargon or mathematical formulas, nationally renowned healthcare expert and author, Jeff Bauer, presents a clear verbal and visual explanation of what statistics really do. He provides a practical discussion of scientific methods and data to show why statistics should never be allowed to compensate for bad science or bad data. Relying on real-world examples, Dr. Bauer stresses a conceptual understanding that empowers readers to apply a scientifically rigorous approach to the evaluation of data. With the tools he supplies, you will learn how to dismantle statistical evidence that goes against common sense. Easy to understand, practical, and even entertaining, this is the book you wish you had when you took statistics in college — and the one you are now glad to have to defend yourself against the abundance of bad studies and misinformation that might otherwise corrupt your decisions.

Value of Information for Healthcare Decision-Making

Author : Anna Heath,Natalia Kunst,Christopher Jackson
Publisher : CRC Press
Page : 317 pages
File Size : 53,9 Mb
Release : 2024-02-08
Category : Mathematics
ISBN : 9781003825579

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Value of Information for Healthcare Decision-Making by Anna Heath,Natalia Kunst,Christopher Jackson Pdf

Value of Information for Healthcare Decision-Making introduces the concept of Value of Information (VOI) 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.