Measuring and Analysing Social Determinants of Health in the Era of Big Data
Author: Yi Guo
Publisher: Frontiers Media SA
Published: 2022-06-28
Total Pages: 116
ISBN-13: 2889764249
DOWNLOAD EBOOKPosts
Applying Big Data to Address the Social Determinants of Health in Oncology
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Published: 2020-08-14
Total Pages: 83
ISBN-13: 0309679060
DOWNLOAD EBOOKThe National Academies of Sciences, Engineering, and Medicine held the workshop Applying Big Data to Address the Social Determinants of Health in Oncology on October 28â€"29, 2019, in Washington, DC. This workshop examined social determinants of health (SDOH) in the context of cancer, and considered opportunities to effectively leverage big data to improve health equity and reduce disparities. The workshop featured presentations and discussion by experts in technology, oncology, and SDOH, as well as representatives from government, industry, academia, and health care systems. This publication summarizes the presentations and discussions from the workshop.
Social Determinants of Health Measurement Work Group Final Report
Author: Nancy Goff
Publisher:
Published: 2021
Total Pages: 43
ISBN-13:
DOWNLOAD EBOOKAdvanced Data Analytics in Health
Author: Philippe J. Giabbanelli
Publisher: Springer
Published: 2018-04-20
Total Pages: 221
ISBN-13: 3319779117
DOWNLOAD EBOOKThis book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.
Big Data in Medical Science and Healthcare Management
Author: Peter Langkafel
Publisher: Walter de Gruyter GmbH & Co KG
Published: 2015-11-27
Total Pages: 258
ISBN-13: 3110445743
DOWNLOAD EBOOKBig Data in medical science – what exactly is that? What are the potentials for healthcare management? Where is Big Data at the moment? Which risk factors need to be kept in mind? What is hype and what is real potential? This book provides an impression of the new possibilities of networked data analysis and "Big Data" – for and within medical science and healthcare management. Big Data is about the collection, storage, search, distribution, statistical analysis and visualization of large amounts of data. This is especially relevant in healthcare management, as the amount of digital information is growing exponentially. An amount of data corresponding to 12 million novels emerges during the time of a single hospital stay. These are dimensions that cannot be dealt with without IT technologies. What can we do with the data that are available today? What will be possible in the next few years? Do we want everything that is possible? Who protects the data from wrong usage? More importantly, who protects the data from NOT being used? Big Data is the "resource of the 21st century" and might change the world of medical science more than we understand, realize and want at the moment. The core competence of Big Data will be the complete and correct collection, evaluation and interpretation of data. This also makes it possible to estimate the frame conditions and possibilities of the automation of daily (medical) routine. Can Big Data in medical science help to better understand fundamental problems of health and illness, and draw consequences accordingly? Big Data also means the overcoming of sector borders in healthcare management. The specialty of Big Data analysis will be the new quality of the outcomes of the combination of data that were not related before. That is why the editor of the book gives a voice to 30 experts, working in a variety of fields, such as in hospitals, in health insurance or as medical practitioners. The authors show potentials, risks, concrete practical examples, future scenarios, and come up with possible answers for the field of information technology and data privacy.
Big Data over Networks
Author: Shuguang Cui
Publisher: Cambridge University Press
Published: 2016-01-14
Total Pages: 459
ISBN-13: 1316445275
DOWNLOAD EBOOKUtilising both key mathematical tools and state-of-the-art research results, this text explores the principles underpinning large-scale information processing over networks and examines the crucial interaction between big data and its associated communication, social and biological networks. Written by experts in the diverse fields of machine learning, optimisation, statistics, signal processing, networking, communications, sociology and biology, this book employs two complementary approaches: first analysing how the underlying network constrains the upper-layer of collaborative big data processing, and second, examining how big data processing may boost performance in various networks. Unifying the broad scope of the book is the rigorous mathematical treatment of the subjects, which is enriched by in-depth discussion of future directions and numerous open-ended problems that conclude each chapter. Readers will be able to master the fundamental principles for dealing with big data over large systems, making it essential reading for graduate students, scientific researchers and industry practitioners alike.
Adolescent Screening: The Adolescent Medical History in the Age of Big Data
Author: Vincent Morelli
Publisher: Elsevier Health Sciences
Published: 2019-05-09
Total Pages: 276
ISBN-13: 0323661319
DOWNLOAD EBOOKIn this comprehensive look at adolescent screening and holistic health in the technology age, Dr. Vincent Morelli reviews the history of the adolescent health screen, what is being used now, and what needs to be considered in the future. An ideal resource for primary care physicians, pediatricians, and others in health care who work with adolescents, it consolidates today's available information on this timely topic into a single convenient resource. - Covers the history of the adolescent medical history and the need for an update of the biopsychosocial model, which has not significantly changed since 1977. - Discusses nutrition screening, sleep screening, exercise screening, adverse childhood experiences (ACEs) screening, educational screening, behavioral and emotional screening, and more. - Presents the knowledge and experience of leading experts who have assembled the most up-to-date recommendations for adolescent health screening. - Explores today's knowledge of health screening and discusses future directions to ensure healthy habits in adolescents, including education and self-efficacy.
Well
Author: Sandro Galea
Publisher: Oxford University Press, USA
Published: 2019
Total Pages: 305
ISBN-13: 0190916834
DOWNLOAD EBOOK"In a stirring and radical new treatise from one of America's most respected voices in health and medicine, Well examines the subtle factors that determine who gets to be healthy in the United States. Physician Sandro Galea reckons with our country's many fraught relationships--with history, money, pain, and pleasure, which are in turn augmented by factors like luck, compassion, and values--in terms of how they determine the health of those in the world's richest country. Well represents a radical new approach to Americans' ingrained understanding of health. It examines the forces that are not typically part of the health discussion--but should be--and is a clarion call for where the country goes from here"--
Social Determinants of Health
Author: Laurie W. Hinnant
Publisher:
Published: 2022
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKIn recent years, the number of publicly available tools and indices assessing social determinants of health (SDOH) has grown exponentially. While many of these indices have been developed to assist researchers and practitioners with identifying vulnerable communities, it is difficult to determine the most appropriate measure, index, or combination of indices to use given the research question of interest. This paper presents an overview of the most commonly included indices, highlights commonalities, and identifies some differences in what they measure. We also discuss challenges with using these measures, including the use of state level data to examine local level issues and how the use of atheoretical indices challenges the application of SDOH measurement. Findings are intended to provide researchers and practitioners with information about SDOH data available through these common indices to inform how they are applied based on the needs of their work.
Big Data-Enabled Nursing
Author: Connie W. Delaney
Publisher: Springer
Published: 2017-11-02
Total Pages: 504
ISBN-13: 3319533002
DOWNLOAD EBOOKHistorically, nursing, in all of its missions of research/scholarship, education and practice, has not had access to large patient databases. Nursing consequently adopted qualitative methodologies with small sample sizes, clinical trials and lab research. Historically, large data methods were limited to traditional biostatical analyses. In the United States, large payer data has been amassed and structures/organizations have been created to welcome scientists to explore these large data to advance knowledge discovery. Health systems electronic health records (EHRs) have now matured to generate massive databases with longitudinal trending. This text reflects how the learning health system infrastructure is maturing, and being advanced by health information exchanges (HIEs) with multiple organizations blending their data, or enabling distributed computing. It educates the readers on the evolution of knowledge discovery methods that span qualitative as well as quantitative data mining, including the expanse of data visualization capacities, are enabling sophisticated discovery. New opportunities for nursing and call for new skills in research methodologies are being further enabled by new partnerships spanning all sectors.
