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Author : Demetris Lamnisos,Michael A. Talias,Alexandros Heraclides
Publisher : Frontiers Media SA
Page : 98 pages
File Size : 45,5 Mb
Release : 2023-11-15
Category : Medical
ISBN : 9782832539057
Author : Tarun Weeramanthri,Hugh Dawkins,Gareth Baynam,Matthew Bellgard,Ori Gudes,James Semmens
Publisher : Frontiers Media SA
Page : 149 pages
File Size : 42,7 Mb
Release : 2018-06-25
Category : Electronic
ISBN : 9782889455010
Precision Public Health is a new and rapidly evolving field, that examines the application of new technologies to public health policy and practice. It draws on a broad range of disciplines including genomics, spatial data, data linkage, epidemiology, health informatics, big data, predictive analytics and communications. The hope is that these new technologies will strengthen preventive health, improve access to health care, and reach disadvantaged populations in all areas of the world. But what are the downsides and what are the risks, and how can we ensure the benefits flow to those population groups most in need, rather than simply to those individuals who can afford to pay? This is the first collection of theoretical frameworks, analyses of empirical data, and case studies to be assembled on this topic, published to stimulate debate and promote collaborative work.
Author : Demissie Alemayehu, PhD,Joseph C. Cappelleri, PhD,Birol Emir, PhD,Kelly H. Zou, PhD, Pstat
Publisher : CRC Press
Page : 210 pages
File Size : 54,6 Mb
Release : 2017-11-22
Category : Mathematics
ISBN : 9781498781886
With ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and reimbursement agencies to request for HEOR evidence, in addition to data from clinical trials, to inform decisions about patient access to new treatment options. While there is a great deal of literature on HEOR, there is a need for a volume that presents a coherent and unified review of the major issues that arise in application, especially from a statistical perspective. Statistical Topics in Health Economics and Outcomes Research fulfils that need by presenting an overview of the key analytical issues and best practice. Special attention is paid to key assumptions and other salient features of statistical methods customarily used in the area, and appropriate and relatively comprehensive references are made to emerging trends. The content of the book is purposefully designed to be accessible to readers with basic quantitative backgrounds, while providing an in-depth coverage of relatively complex statistical issues. The book will make a very useful reference for researchers in the pharmaceutical industry, academia, and research institutions involved with HEOR studies. The targeted readers may include statisticians, data scientists, epidemiologists, outcomes researchers, health economists, and healthcare policy and decision-makers.
Author : Leo Anthony Celi,Maimuna S. Majumder,Patricia Ordóñez,Juan Sebastian Osorio,Kenneth E. Paik,Melek Somai
Publisher : Springer Nature
Page : 471 pages
File Size : 40,7 Mb
Release : 2020-07-31
Category : Medical
ISBN : 9783030479947
This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
Author : Rhiannon Tudor Edwards,Emma McIntosh
Publisher : Oxford University Press
Page : 400 pages
File Size : 44,7 Mb
Release : 2019-03-14
Category : Medical
ISBN : 9780191057236
In today's world of scare resources, determining the optimal allocation of funds to preventive health care interventions (PHIs) is a challenge. The upfront investments needed must be viewed as long term projects, the benefits of which we will experience in the future. The long term positive change to PHIs from economic investment can be seen across multiple sectors such as health care, education, employment and beyond. Applied Health Economics for Public Health Practice and Research is the fifth in the series of Handbooks in Health Economic Evaluation. It presents new research on health economics methodology and application to the evaluation of public health interventions. Looking at traditional as well as novel methods of economic evaluation, the book covers the history of economics of public health and the economic rationale for government investment in prevention. In addition, it looks at principles of health economics, evidence synthesis, key methods of economic evaluation with accompanying case studies, and much more. Looking to the future, Applied Health Economics for Public Health Practice and Research presents priorities for research in the field of public health economics. It acknowledges the role played by natural environment in promoting better health, and the place of genetics, environment and socioeconomic status in determining population health. Ideal for health economists, public health researchers, local government workers, health care professionals, and those responsible for health policy development. Applied Health Economics for Public Health Practice and Research is an important contribution to the economic discussion of public health and resource allocation.
Author : Katherine Marconi,Harold Lehmann
Publisher : CRC Press
Page : 374 pages
File Size : 41,7 Mb
Release : 2014-12-20
Category : Business & Economics
ISBN : 9781482229257
This book provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. Written for health care professionals and executives, this book presents the current thinking of academic and industry researchers and leaders from around the world. Using non-technical language, it includes case studies that illustrate the business processes that underlie the use of big data and health analytics to improve health care delivery.
Author : Christo El Morr,Hossam Ali-Hassan
Publisher : Springer
Page : 105 pages
File Size : 55,7 Mb
Release : 2019-01-21
Category : Medical
ISBN : 9783030045067
This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records, electronic patient record, clinical findings, diagnosis, prescription drug, medical imaging procedure, mobile health, resources available, etc. Managing the data and analyzing it to properly understand it and use it to make well-informed decisions can be a challenge for managers and health care professionals. A new generation of applications, sometimes referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business professionals. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and analytics for healthcare, while also looking towards future directions in the field.
Author : Joseph Tan
Publisher : Jones & Bartlett Learning
Page : 483 pages
File Size : 42,6 Mb
Release : 2019-09-17
Category : Medical
ISBN : 9781284153897
Adaptive Health Management Information Systems, Fourth Edition is a thorough resource for a broad range of healthcare professionals–from informaticians, physicians and nurses, to pharmacists, public health and allied health professionals–who need to keep pace the digital transformation of health care. Wholly revised, updated, and expanded in scope, the fourth edition covers the latest developments in the field of health management information systems (HMIS) including big data analytics and machine learning in health care; precision medicine; digital health commercialization; supply chain management; informatics for pharmacy and public health; digital health leadership; cybersecurity; and social media analytics.
Author : Laura B. Madsen
Publisher : John Wiley & Sons
Page : 224 pages
File Size : 52,5 Mb
Release : 2014-10-27
Category : Business & Economics
ISBN : 9781118772218
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.
Author : Pantea Keikhosrokiani
Publisher : Academic Press
Page : 356 pages
File Size : 55,8 Mb
Release : 2022-05-19
Category : Medical
ISBN : 9780323985161
Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. Presents theories, methods and approaches in which data analytic techniques are used for medical data Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases Discusses social, behavioral, and medical fake news analytics for medical information systems
Author : Leo Anthony Celi,Maimuna S. Majumder,Patricia Ordóñez,Juan Sebastian Osorio,Kenneth E. Paik,Melek Somai
Publisher : Springer
Page : 475 pages
File Size : 54,5 Mb
Release : 2020-09-18
Category : Medical
ISBN : 303047996X
This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
Author : Taylor & Francis Group
Publisher : CRC Press
Page : 190 pages
File Size : 50,8 Mb
Release : 2021-06-30
Category : Electronic
ISBN : 1032096047
With ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and reimbursement agencies to request for HEOR evidence, in addition to data from clinical trials, to inform decisions about patient access to new treatment options. While there is a great deal of literature on HEOR, there is a need for a volume that presents a coherent and unified review of the major issues that arise in application, especially from a statistical perspective. Statistical Topics in Health Economics and Outcomes Research fulfils that need by presenting an overview of the key analytical issues and best practice. Special attention is paid to key assumptions and other salient features of statistical methods customarily used in the area, and appropriate and relatively comprehensive references are made to emerging trends. The content of the book is purposefully designed to be accessible to readers with basic quantitative backgrounds, while providing an in-depth coverage of relatively complex statistical issues. The book will make a very useful reference for researchers in the pharmaceutical industry, academia, and research institutions involved with HEOR studies. The targeted readers may include statisticians, data scientists, epidemiologists, outcomes researchers, health economists, and healthcare policy and decision-makers.
Author : Martin Gulliford,Edmund Jessop,Honorary Professor of Public Health Edmund Jessop
Publisher : Oxford University Press, USA
Page : 241 pages
File Size : 43,7 Mb
Release : 2020-08-19
Category : Electronic
ISBN : 9780198837206
Healthcare public health is concerned with the application of population sciences to the design, organisation, and delivery of healthcare services, with the ultimate aim of improving population health. This book provides an introduction to the methods and subject matter of healthcare public health, bringing together coverage of all the key areas in a single volume. Topics include healthcare needs assessment; access to healthcare; knowledge management; ethical issues; involving patients and the public; population screening; health promotion and disease prevention; new service model; programme budgeting and preparing a business case; evaluation and outcomes; patient safety, and implementation and improvement sciences; and healthcare in remote and resource-poor regions. Drawing on international as well as national perspectives, this volume will be relevant wherever healthcare is delivered. It will enable students, researchers, academics, practitioners, and policy-makers to contribute to the goals of designing and delivering health services that improve population health, reduce inequalities, and meet the needs of individuals and communities.
Author : Houneida Sakly,Kristen Yeom,Safwan Halabi,Mourad Said,Jayne Seekins,Moncef Tagina
Publisher : Springer Nature
Page : 256 pages
File Size : 44,5 Mb
Release : 2023-01-01
Category : Medical
ISBN : 9783031111990
This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others. This will include topics such as Artificial Intelligence of Thing (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs). Healthcare providers will learn how to leverage Big Data analytics and AI as methodology for accurate analysis based on their clinical data repositories and clinical decision support. The capacity to recognize patterns and transform large amounts of data into usable information for precision medicine assists healthcare professionals in achieving these objectives. Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. Some of the greatest challenges in using these technologies are based on legal and ethical concerns of using medical data and adequately representing and servicing disparate patient populations. One major potential benefit of this technology is to make health systems more sustainable and standardized. Privacy and data security, establishing protocols, appropriate governance, and improving technologies will be among the crucial priorities for Digital Transformation in Healthcare.
Author : Heather Brown
Publisher : Springer
Page : 107 pages
File Size : 49,8 Mb
Release : 2018-04-12
Category : Business & Economics
ISBN : 9783319748269
Non-communicable diseases have surpassed infectious diseases as the leading cause of morbidity and mortality in developed countries. Prevention and treatment of the causes and consequences of lifestyle-related diseases forms an important part of health policy in the twenty-first century. Public health economics – from quantifying the problem, to evaluating interventions and developing toolkits to assist decision makers – is an essential area for any postgraduate student and researcher with an interest in applied economics to understand. There are a wide range of techniques from mainstream economics and health economics that can be applied to the evaluation of public health policy and public health issues. In this book, Brown presents examples from developed countries to illustrate how economic tools can be applied to public health. Further, cross-country comparisons illustrate how contextual factors related to healthcare systems, demographics and environmental factors may impact on outcomes and the cost-effectiveness of public health policies, in order to aid understanding and help students apply theory into practice.
