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Medical Data Sharing Harmonization And Analytics

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Medical Data Sharing Harmonization and Analytics

Medical Data Sharing  Harmonization and Analytics Book
Author : Dimitrios I. Fotiadis,Vasileios Pezoulas,Themis Exarchos
Publisher : Academic Press
Release : 2020-01-17
ISBN : 9780128165072
Language : En, Es, Fr & De

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Book Description :

Medical Data Sharing, Harmonization and Analytics serves as the basis for understanding the rapidly evolving field of medical data harmonization combined with the latest cloud infrastructures for storing the harmonized (shared) data. Chapters cover the latest research and applications on data sharing and protection in the medical domain, cohort integration through the recent advancements in data harmonization, cloud computing for storing and securing the patient data, and data analytics for effectively processing the harmonized data. Examines the unmet needs in chronic diseases as a part of medical data sharing Discusses ethical, legal and privacy issues as part of data protection Combines data harmonization and big data analytics strategies in shared medical data, along with relevant case studies in chronic diseases

Medical Data Sharing Harmonization and Analytics

Medical Data Sharing  Harmonization and Analytics Book
Author : Vasileios Pezoulas,Themis Exarchos,Dimitrios I Fotiadis
Publisher : Academic Press
Release : 2020-01-05
ISBN : 0128165596
Language : En, Es, Fr & De

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Book Description :

Medical Data Sharing, Harmonization and Analytics serves as the basis for understanding the rapidly evolving field of medical data harmonization combined with the latest cloud infrastructures for storing the harmonized (shared) data. Chapters cover the latest research and applications on data sharing and protection in the medical domain, cohort integration through the recent advancements in data harmonization, cloud computing for storing and securing the patient data, and data analytics for effectively processing the harmonized data. Examines the unmet needs in chronic diseases as a part of medical data sharing Discusses ethical, legal and privacy issues as part of data protection Combines data harmonization and big data analytics strategies in shared medical data, along with relevant case studies in chronic diseases

8th European Medical and Biological Engineering Conference

8th European Medical and Biological Engineering Conference Book
Author : Tomaz Jarm,Aleksandra Cvetkoska,Samo Mahnič-Kalamiza,Damijan Miklavcic
Publisher : Springer Nature
Release : 2020-11-29
ISBN : 3030646106
Language : En, Es, Fr & De

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Book Description :

This book aims at informing on new trends, challenges and solutions, in the multidisciplinary field of biomedical engineering. It covers traditional biomedical engineering topics, as well as innovative applications such as artificial intelligence in health care, tissue engineering , neurotechnology and wearable devices. Further topics include mobile health and electroporation-based technologies, as well as new treatments in medicine. Gathering the proceedings of the 8th European Medical and Biological Engineering Conference (EMBEC 2020), held on November 29 - December 3, 2020, in Portorož, Slovenia, this book bridges fundamental and clinically-oriented research, emphasizing the role of education, translational research and commercialization of new ideas in biomedical engineering. It aims at inspiring and fostering communication and collaboration between engineers, physicists, biologists, physicians and other professionals dealing with cutting-edge themes in and advanced technologies serving the broad field of biomedical engineering.

Genomic Epidemiology Data Infrastructure Needs for SARS CoV 2

Genomic Epidemiology Data Infrastructure Needs for SARS CoV 2 Book
Author : National Academies of Sciences, Engineering, and Medicine,Division on Earth and Life Studies,Board on Life Sciences,Health and Medicine Division,Board on Health Sciences Policy,Committee on Data Needs to Monitor the Evolution of SARS-CoV-2
Publisher : National Academies Press
Release : 2020-10-29
ISBN : 0309680913
Language : En, Es, Fr & De

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Book Description :

In December 2019, new cases of severe pneumonia were first detected in Wuhan, China, and the cause was determined to be a novel beta coronavirus related to the severe acute respiratory syndrome (SARS) coronavirus that emerged from a bat reservoir in 2002. Within six months, this new virusâ€"SARS coronavirus 2 (SARS-CoV-2)â€"has spread worldwide, infecting at least 10 million people with an estimated 500,000 deaths. COVID-19, the disease caused by SARS-CoV-2, was declared a public health emergency of international concern on January 30, 2020 by the World Health Organization (WHO) and a pandemic on March 11, 2020. To date, there is no approved effective treatment or vaccine for COVID-19, and it continues to spread in many countries. Genomic Epidemiology Data Infrastructure Needs for SARS-CoV-2: Modernizing Pandemic Response Strategies lays out a framework to define and describe the data needs for a system to track and correlate viral genome sequences with clinical and epidemiological data. Such a system would help ensure the integration of data on viral evolution with detection, diagnostic, and countermeasure efforts. This report also explores data collection mechanisms to ensure a representative global sample set of all relevant extant sequences and considers challenges and opportunities for coordination across existing domestic, global, and regional data sources.

Reflections on Sharing Clinical Trial Data

Reflections on Sharing Clinical Trial Data Book
Author : National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Care Services,Board on Health Sciences Policy,Roundtable on Genomics and Precision Health,National Cancer Policy Forum,Forum on Neuroscience and Nervous System Disorders,Forum on Drug Discovery, Development, and Translation
Publisher : National Academies Press
Release : 2020-11-20
ISBN : 030967915X
Language : En, Es, Fr & De

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Book Description :

On November 18 and 19, 2019, the National Academies of Sciences, Engineering, and Medicine hosted a public workshop in Washington, DC, titled Sharing Clinical Trial Data: Challenges and a Way Forward. The workshop followed the release of the 2015 Institute of Medicine (IOM) consensus study report Sharing Clinical Trial Data: Maximizing Benefits, Minimizing Risk, and was designed to examine the current state of clinical trial data sharing and reuse and to consider ways in which policy, technology, incentives, and governance could be leveraged to further encourage and enhance data sharing. This publication summarizes the presentations and discussions from the workshop.

Data Management Analytics and Innovation

Data Management  Analytics and Innovation Book
Author : Neha Sharma,Amlan Chakrabarti,Valentina Emilia Balas
Publisher : Springer Nature
Release : 2019-10-24
ISBN : 9813299495
Language : En, Es, Fr & De

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Book Description :

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine Book
Author : Subhi J. Al'Aref,Gurpreet Singh,Lohendran Baskaran,Dimitri Metaxas
Publisher : Academic Press
Release : 2020-11-20
ISBN : 0128202742
Language : En, Es, Fr & De

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Book Description :

Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Smart Health

Smart Health Book
Author : Andreas Holzinger,Carsten Röcker,Martina Ziefle
Publisher : Springer
Release : 2015-02-24
ISBN : 3319162268
Language : En, Es, Fr & De

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Book Description :

Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.

Advances in Molecular Pathology 2018

Advances in Molecular Pathology 2018 Book
Author : Anonim
Publisher : Elsevier Health Sciences
Release : 2018-10-09
ISBN : 0323639666
Language : En, Es, Fr & De

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Book Description :

This inaugural issue of Advances in Molecular Pathology will provide a comprehensive review of the most current practices, trends, and developments in the field of Molecular Pathology. Publishing on an annual basis, the volume will be divided into 7 sections: Genetics, Hematopathology, Infectious Disease, Pharmacogenomics, Informatics, Solid tumors, and Identity/HLA. Led by Dr. Gregory Tsongalis of Dartmouth University, a team of experienced pathologists from institutions across the country oversee annual topic and expert author selection. Topics discussed in this volume include, but are not limited to: whole genome sequencing in critically ill children, bioinformatics in clinical genomic sequencing, comprehensive monitoring of patients with chronic myeloid leukemia, genetic biomarkers in the biology and clinical workup of chronic lymphocytic leukemia, metagenomics in infectious disease, point of care molecular testing, pharmacogenomics in oncology, clinical uses of panel testing vs. single gene testing, large scale data sharing initiatives in genomic oncology, clinical NGS assays for solid tumors emerging concepts in liquid biopsy the cell line and tissue misidentification problem, and cell line detective work.

Data Analytics in Medicine Concepts Methodologies Tools and Applications

Data Analytics in Medicine  Concepts  Methodologies  Tools  and Applications Book
Author : Management Association, Information Resources
Publisher : IGI Global
Release : 2019-12-06
ISBN : 1799812057
Language : En, Es, Fr & De

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Book Description :

Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and patient care. Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines practical applications of healthcare analytics for improved patient care, resource allocation, and medical performance, as well as for diagnosing, predicting, and identifying at-risk populations. Highlighting a range of topics such as data security and privacy, health informatics, and predictive analytics, this multi-volume book is ideally designed for doctors, hospital administrators, nurses, medical professionals, IT specialists, computer engineers, information technologists, biomedical engineers, data-processing specialists, healthcare practitioners, academicians, and researchers interested in current research on the connections between data analytics in the field of medicine.

Data Science and Medical Informatics in Healthcare Technologies

Data Science and Medical Informatics in Healthcare Technologies Book
Author : Nguyen Thi Dieu Linh,Zhongyu (Joan) Lu
Publisher : Springer Nature
Release : 2021-06-19
ISBN : 9811630291
Language : En, Es, Fr & De

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Book Description :

This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others.

Handbook of Healthcare Analytics

Handbook of Healthcare Analytics Book
Author : Tinglong Dai,Sridhar Tayur
Publisher : John Wiley & Sons
Release : 2018-08-10
ISBN : 1119300959
Language : En, Es, Fr & De

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Book Description :

How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century? Editors Tinglong Dai and Sridhar Tayur, aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing cross-disciplinary field. The Handbook covers a wide range of macro-, meso- and micro-level thrusts—such as market design, competing interests, global health, personalized medicine, residential care and concierge medicine, among others—and structures what has been a highly fragmented research area into a coherent scientific discipline. The handbook also provides an easy-to-comprehend introduction to five essential research tools—Markov decision process, game theory and information economics, queueing games, econometric methods, and data science—by illustrating their uses and applicability on examples from diverse healthcare settings, thus connecting tools with thrusts. The primary audience of the Handbook includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. This Handbook: Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings. This change in perspective—a shift in gaze away from narrow, local and one-off operational improvement efforts that do not replicate, scale or remain sustainable—can lead to new knowledge and innovative solutions that healthcare has been seeking so desperately. Facilitates collaboration between healthcare experts and analytics scholar to frame and tackle their pressing concerns through appropriate modern mathematical tools designed for this very purpose. The handbook is designed to be accessible to the independent reader, and it may be used in a variety of settings, from a short lecture series on specific topics to a semester-long course.

Precision Medicine for Investigators Practitioners and Providers

Precision Medicine for Investigators  Practitioners and Providers Book
Author : Joel Faintuch,Salomao Faintuch
Publisher : Academic Press
Release : 2019-11-16
ISBN : 0128191791
Language : En, Es, Fr & De

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Book Description :

Precision Medicine for Investigators, Practitioners and Providers addresses the needs of investigators by covering the topic as an umbrella concept, from new drug trials to wearable diagnostic devices, and from pediatrics to psychiatry in a manner that is up-to-date and authoritative. Sections include broad coverage of concerning disease groups and ancillary information about techniques, resources and consequences. Moreover, each chapter follows a structured blueprint, so that multiple, essential items are not overlooked. Instead of simply concentrating on a limited number of extensive and pedantic coverages, scholarly diagrams are also included. Provides a three-pronged approach to precision medicine that is focused on investigators, practitioners and healthcare providers Covers disease groups and ancillary information about techniques, resources and consequences Follows a structured blueprint, ensuring essential chapters items are not overlooked

The CMIO Survival Guide

The CMIO Survival Guide Book
Author : Richard L. Rydell, MBA, FACHE, LFHIMSS, Editor,Howard M. Landa, MD, Associate Editor
Publisher : Taylor & Francis
Release : 2018-02-12
ISBN : 1351592726
Language : En, Es, Fr & De

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Book Description :

The CMIO Survival Guide is the handbook for the new Chief Medical Information Officer, as well as for those recruiting or planning to recruit a CMIO. This quick reference is organized by real-world topics that CMIOs need to know, as well as the criteria that the CIO, CMO or CEO should consider in identifying excellence in a CMIO candidate. It is written by pioneering physicians and AMDIS faculty with a wealth of experience in medical informatics who provide guidance, advice and lessons learned for those interested in this relatively new role in healthcare. This second edition updates every chapter in the original work and adds new chapters to address the changes in healthcare delivery, the role of the physician executive, technology, medical education, small and rural hospitals.

Planning for Long Term Use of Biomedical Data

Planning for Long Term Use of Biomedical Data Book
Author : National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Board on Research Data and Information,Division on Earth and Life Studies,Board on Life Sciences,Division on Engineering and Physical Sciences,Computer Science and Telecommunications Board,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics
Publisher : National Academies Press
Release : 2020-07-09
ISBN : 0309672759
Language : En, Es, Fr & De

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Book Description :

Biomedical research data sets are becoming larger and more complex, and computing capabilities are expanding to enable transformative scientific results. The National Institutes of Health's (NIH's) National Library of Medicine (NLM) has the unique role of ensuring that biomedical research data are findable, accessible, interoperable, and reusable in an ethical manner. Tools that forecast the costs of long-term data preservation could be useful as the cost to curate and manage these data in meaningful ways continues to increase, as could stewardship to assess and maintain data that have future value. The National Academies of Sciences, Engineering, and Medicine convened a workshop on July 11-12, 2019 to gather insight and information in order to develop and demonstrate a framework for forecasting long-term costs for preserving, archiving, and accessing biomedical data. Presenters and attendees discussed tools and practices that NLM could use to help researchers and funders better integrate risk management practices and considerations into data preservation, archiving, and accessing decisions; methods to encourage NIH-funded researchers to consider, update, and track lifetime data; and burdens on the academic researchers and industry staff to implement these tools, methods, and practices. This publication summarizes the presentations and discussion of the workshop.

The Harmonization and Protection of Trade Secrets in the EU

The Harmonization and Protection of Trade Secrets in the EU Book
Author : Jens Schovsbo,Timo Minssen,Thomas Riis
Publisher : Edward Elgar Publishing
Release : 2020-07-31
ISBN : 1788973348
Language : En, Es, Fr & De

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Book Description :

This book addresses the growing importance of trade secrets in today's society and business and the related increase in litigation, media and scholarly attention, using the new EU Trade Secrets Directive as a prism through which to discuss the complex legal issues involved. Written by a team of international experts, it discusses and analyses national implementation of the Directive and explores the effects of the new regime on contentious issues and crucial sectors such as big data and AI.

Public Mental Health

Public Mental Health Book
Author : William W. Eaton,M. Daniele Fallin
Publisher : Oxford University Press
Release : 2019-04-03
ISBN : 019091663X
Language : En, Es, Fr & De

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Book Description :

"[A] masterful volume that will do much to advance understanding of mental health as an essential public health challenge." -Journal of Sociology & Social Welfare THE GROUNDBREAKING TEXTBOOK IN POPULATION-LEVEL MENTAL HEALTH, NOW FULLY REVISED AND UPDATED Public Mental Health equips a new generation of public health students, researchers and practitioners with the most innovative social. biological, and behavioral science approaches to mental health challenges at the population level. Incorporating insights from multiple health and science disciplines, this new edition introduces novel concepts and methodologies for understanding the occurrence of mental disorders in populations worldwide. Reflecting the disciplinary diversity and expertise of an internationally-recognized roster of contributors, its nineteen chapters include coverage of such essential topics as: · estimates of global prevalence based on new data from the Global Burden of Disease Study · the complex way in which genes, other biological factors, and life stresses increase risk · mental health disparities among population subgroups · population-level mental health consequences of violence and natural disasters · the logic and practice of prevention of mental and behavioral disorders With a perspective that will resonate from the lab to the legislature floor, Public Mental Health offers a much-need core text for students, researchers, and practitioners.

Clinical Research Informatics

Clinical Research Informatics Book
Author : Rachel L. Richesson,James E. Andrews
Publisher : Springer
Release : 2019-02-07
ISBN : 3319987798
Language : En, Es, Fr & De

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Book Description :

This extensively revised new edition comprehensively reviews the rise of clinical research informatics (CRI). It enables the reader to develop a thorough understanding of how CRI has developed and the evolving challenges facing the biomedical informatician in the modern clinical research environment. Emphasis is placed on the changing role of the consumer, and the need to merge clinical care delivery and research as part of a changing paradigm in global healthcare delivery. Clinical Research Informatics presents a detailed review of using informatics in the continually evolving clinical research environment. It represents a valuable textbook reference for all students and practising healthcare informaticians looking to learn and expand their understanding of this fast-moving and increasingly important discipline.

Big Data Analytics for Intelligent Healthcare Management

Big Data Analytics for Intelligent Healthcare Management Book
Author : Nilanjan Dey,Himansu Das,Bighnaraj Naik,H S Behera
Publisher : Academic Press
Release : 2019-04-15
ISBN : 0128181478
Language : En, Es, Fr & De

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Book Description :

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc. Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more