Medical Data Management

Medical Data Management
Author: Florian Leiner,Wilhelm Gaus,Reinhold Haux,Petra Knaup-Gregori
Publsiher: Springer Science & Business Media
Total Pages: 230
Release: 2003-01-14
Genre: Computers
ISBN: 0387951598

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Medical Data Management is a systematic introduction to the basic methodology of professional clinical data management. It emphasizes generic methods of medical documentation applicable to such diverse tasks as the electronic patient record, maintaining a clinical trials database, and building a tumor registry. This book is for all students in medical informatics and health information management, and it is ideal for both the undergraduate and the graduate levels. The book also guides professionals in the design and use of clinical information systems in various health care settings. It is an invaluable resource for all health care professionals involved in designing, assessing, adapting, or using clinical data management systems in hospitals, outpatient clinics, study centers, health plans, etc. The book combines a consistent theoretical foundation of medical documentation methods outlining their practical applicability in real clinical data management systems. Two new chapters detail hospital information systems and clinical trials. There is a focus on the international classification of diseases (ICD-9 and -10) systems, as well as a discussion on the difference between the two codes. All chapters feature exercises, bullet points, and a summary to provide the reader with essential points to remember. New to the Third Edition is a comprehensive section comprised of a combined Thesaurus and Glossary which aims to clarify the unclear and sometimes inconsistent terminology surrounding the topic.

Data Management and Analytics for Medicine and Healthcare

Data Management and Analytics for Medicine and Healthcare
Author: Edmon Begoli,Fusheng Wang,Gang Luo
Publsiher: Springer
Total Pages: 0
Release: 2017-08-26
Genre: Computers
ISBN: 3319671855

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This book constitutes the thoroughly refereed conference proceedings of the Third International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017, in Munich, Germany, in September 2017, held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017. The 9 revised full papers presented together with 2 keynote abstracts were carefully reviewed and selected from 16 initial submissions. The papers are organized in topical sections on data privacy and trustability for electronic health records; biomedical data management and Integration; online mining of Health related data; and clinical data analytics.

Clinical Data Management

Clinical Data Management
Author: Richard K. Rondel,Sheila A. Varley,Colin F. Webb
Publsiher: John Wiley & Sons
Total Pages: 386
Release: 2000-02-03
Genre: Medical
ISBN: 0471983292

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Extensively revised and updated, with the addition of new chapters and authors, this long-awaited second edition covers all aspects of clinical data management. Giving details of the efficient clinical data management procedures required to satisfy both corporate objectives and quality audits by regulatory authorities, this text is timely and an important contribution to the literature. The volume: * is written by well-known and experienced authors in this area * provides new approaches to major topics in clinical data management * contains new chapters on systems software validation, database design and performance measures. It will be invaluable to anyone in the field within the pharmaceutical industry, and to all biomedical professionals working in clinical research.

Practical Guide to Clinical Data Management

Practical Guide to Clinical Data Management
Author: Susanne Prokscha
Publsiher: CRC Press
Total Pages: 296
Release: 2011-10-26
Genre: Computers
ISBN: 9781439848319

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The management of clinical data, from its collection during a trial to its extraction for analysis, has become a critical element in the steps to prepare a regulatory submission and to obtain approval to market a treatment. Groundbreaking on its initial publication nearly fourteen years ago, and evolving with the field in each iteration since then,

A Guide to GCP for Clinical Data Management

A Guide to GCP for Clinical Data Management
Author: MARK. ELSLEY
Publsiher: Unknown
Total Pages: 46
Release: 2017
Genre: Electronic Book
ISBN: 191205521X

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Healthcare and Big Data Management

Healthcare and Big Data Management
Author: Bairong Shen
Publsiher: Springer
Total Pages: 164
Release: 2017-10-20
Genre: Science
ISBN: 9789811060410

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The book addresses the interplay of healthcare and big data management. Thanks to major advances in big data technologies and precision medicine, healthcare is now becoming the new frontier for both scientific research and economic development. This volume covers a range of aspects, including: big data management for healthcare; physiological and gut microbiota – data collection and analysis; big data standardization and ontology; and personal data privacy and systems level modeling in the healthcare context. The book offers a valuable resource for biomedical informaticians, clinicians, health practitioners and researchers alike.

Healthcare Data Analytics and Management

Healthcare Data Analytics and Management
Author: Nilanjan Dey,Amira S. Ashour,Simon James Fong,Chintan Bhatt
Publsiher: Academic Press
Total Pages: 340
Release: 2018-11-15
Genre: Science
ISBN: 9780128156360

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Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data. Covers data analysis, management and security concepts and tools in the healthcare domain Highlights electronic medical health records and patient information records Discusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data mining Includes multidisciplinary contributions in relation to healthcare applications and challenges

Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science
Author: Pieter Kubben,Michel Dumontier,Andre Dekker
Publsiher: Springer
Total Pages: 219
Release: 2018-12-21
Genre: Medical
ISBN: 9783319997131

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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.