Medical Data Sharing Harmonization and Analytics

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

Produk Detail:

  • Author : Dimitrios I. Fotiadis
  • Publisher : Academic Press
  • Pages : 382 pages
  • ISBN : 9780128165072
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKMedical Data Sharing Harmonization and Analytics

Medical Data Sharing, Harmonization and Analytics

Medical Data Sharing, Harmonization and Analytics
  • Author : Dimitrios I. Fotiadis,Vasileios Pezoulas,Themis Exarchos
  • Publisher : Academic Press
  • Release : 17 January 2020
GET THIS BOOKMedical Data Sharing, Harmonization and Analytics

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

Medical Data Sharing, Harmonization and Analytics

Medical Data Sharing, Harmonization and Analytics
  • Author : Vasileios Pezoulas,Themis Exarchos,Dimitrios I Fotiadis
  • Publisher : Academic Press
  • Release : 05 January 2020
GET THIS BOOKMedical Data Sharing, Harmonization and Analytics

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

8th European Medical and Biological Engineering Conference

8th European Medical and Biological Engineering Conference
  • Author : Tomaz Jarm,Aleksandra Cvetkoska,Samo Mahnič-Kalamiza,Damijan Miklavcic
  • Publisher : Springer Nature
  • Release : 29 November 2020
GET THIS BOOK8th European Medical and Biological Engineering Conference

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

Sharing Clinical Research Data

Sharing Clinical Research Data
  • Author : Institute of Medicine,Board on Health Care Services,Board on Health Sciences Policy,Roundtable on Translating Genomic-Based Research for Health,National Cancer Policy Forum,Forum on Neuroscience and Nervous System Disorders,Forum on Drug Discovery, Development, and Translation
  • Publisher : National Academies Press
  • Release : 07 June 2013
GET THIS BOOKSharing Clinical Research Data

Pharmaceutical companies, academic researchers, and government agencies such as the Food and Drug Administration and the National Institutes of Health all possess large quantities of clinical research data. If these data were shared more widely within and across sectors, the resulting research advances derived from data pooling and analysis could improve public health, enhance patient safety, and spur drug development. Data sharing can also increase public trust in clinical trials and conclusions derived from them by lending transparency to the

Registries for Evaluating Patient Outcomes

Registries for Evaluating Patient Outcomes
  • Author : Agency for Healthcare Research and Quality/AHRQ
  • Publisher : Government Printing Office
  • Release : 01 April 2014
GET THIS BOOKRegistries for Evaluating Patient Outcomes

This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database

Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science
  • Author : Pieter Kubben,Michel Dumontier,Andre Dekker
  • Publisher : Springer
  • Release : 21 December 2018
GET THIS BOOKFundamentals of Clinical Data Science

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

Digital Infrastructure for the Learning Health System

Digital Infrastructure for the Learning Health System
  • Author : Institute of Medicine,Roundtable on Value and Science-Driven Health Care
  • Publisher : National Academies Press
  • Release : 21 October 2011
GET THIS BOOKDigital Infrastructure for the Learning Health System

Like many other industries, health care is increasingly turning to digital information and the use of electronic resources. The Institute of Medicine's Roundtable on Value & Science-Driven Health Care hosted three workshops to explore current efforts and opportunities to accelerate progress in improving health and health care with information technology systems.

Global Health Informatics

Global Health Informatics
  • Author : Heimar Marin,Eduardo Massad,Marco Antonio Gutierrez,Roberto Jaime Rodrigues,Daniel Sigulem
  • Publisher : Academic Press
  • Release : 08 December 2016
GET THIS BOOKGlobal Health Informatics

Global Health Informatics: How Information Technology Can Change Our Lives in a Globalized World discusses the critical role of information and communication technologies in health practice, health systems management and research in increasingly interconnected societies. In a global interconnected world the old standalone institutional information systems have proved to be inadequate for patient-centered care provided by multiple providers, for the early detection and response to emerging and re-emerging diseases, and to guide population-oriented public health interventions. The book reviews pertinent

Sharing Research Data to Improve Public Health in Africa

Sharing Research Data to Improve Public Health in Africa
  • Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on Population
  • Publisher : National Academies Press
  • Release : 18 September 2015
GET THIS BOOKSharing Research Data to Improve Public Health in Africa

Sharing research data on public health issues can promote expanded scientific inquiry and has the potential to advance improvements in public health. Although sharing data is the norm in some research fields, sharing of data in public health is not as firmly established. In March 2015, the National Research Council organized an international conference in Stellenbosch, South Africa, to explore the benefits of and barriers to sharing research data within the African context. The workshop brought together public health researchers and

Joint Imaging Platform for Federated Clinical Data Analytics

Joint Imaging Platform for Federated Clinical Data Analytics
  • Author : Jonas Scherer,Jakob Neubauer,Marco Reisert,Michael Bock,Fabian Bamberg,Jürgen Hennig,Philipp Tobias Meyer,Juri Ruf,Klaus H. Maier-Hein
  • Publisher : Unknown Publisher
  • Release : 22 June 2021
GET THIS BOOKJoint Imaging Platform for Federated Clinical Data Analytics

Abstract: PURPOSE Image analysis is one of the most promising applications of artificial intelligence (AI) in health care, potentially improving prediction, diagnosis, and treatment of diseases. Although scientific advances in this area critically depend on the accessibility of large-volume and high-quality data, sharing data between institutions faces various ethical and legal constraints as well as organizational and technical obstacles. METHODS The Joint Imaging Platform (JIP) of the German Cancer Consortium (DKTK) addresses these issues by providing federated data analysis technology

Sharing Clinical Trial Data

Sharing Clinical Trial Data
  • Author : Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data
  • Publisher : National Academies Press
  • Release : 20 April 2015
GET THIS BOOKSharing Clinical Trial Data

Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine

U-Healthcare Monitoring Systems

U-Healthcare Monitoring Systems
  • Author : Nilanjan Dey,Amira Ashour,Simon James Fong,Surekha Borra
  • Publisher : Academic Press
  • Release : 17 September 2018
GET THIS BOOKU-Healthcare Monitoring Systems

U-Healthcare Monitoring Systems: Volume One: Design and Applications focuses on designing efficient U-healthcare systems which require the integration and development of information technology service/facilities, wireless sensors technology, wireless communication tools, and localization techniques, along with health management monitoring, including increased commercialized service or trial services. These u-healthcare systems allow users to check and remotely manage the health conditions of their parents. Furthermore, context-aware service in u-healthcare systems includes a computer which provides an intelligent service based on the user’

Patient Safety

Patient Safety
  • Author : Institute of Medicine,Board on Health Care Services,Committee on Data Standards for Patient Safety
  • Publisher : National Academies Press
  • Release : 20 December 2003
GET THIS BOOKPatient Safety

Americans should be able to count on receiving health care that is safe. To achieve this, a new health care delivery system is needed â€" a system that both prevents errors from occurring, and learns from them when they do occur. The development of such a system requires a commitment by all stakeholders to a culture of safety and to the development of improved information systems for the delivery of health care. This national health information infrastructure is needed to provide

Medical Data Privacy Handbook

Medical Data Privacy Handbook
  • Author : Aris Gkoulalas-Divanis,Grigorios Loukides
  • Publisher : Springer
  • Release : 26 November 2015
GET THIS BOOKMedical Data Privacy Handbook

This handbook covers Electronic Medical Record (EMR) systems, which enable the storage, management, and sharing of massive amounts of demographic, diagnosis, medication, and genomic information. It presents privacy-preserving methods for medical data, ranging from laboratory test results to doctors’ comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy-preserving way according to data sharing policies and regulations. Written by world-renowned leaders in this field, each chapter offers a survey of

The Data Book

The Data Book
  • Author : Meredith Zozus
  • Publisher : CRC Press
  • Release : 12 July 2017
GET THIS BOOKThe Data Book

The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members covering how to collect and manage data for research. The book covers basic types of data and fundamentals of how data grow, move and change over time. Focusing on pre-publication data collection and handling, the text illustrates use of these key concepts to match data collection and management methods to a particular study, in essence, making good decisions about