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Richesson / Fultz Hollis / Andrews

Clinical Research Informatics

Medium: Buch
ISBN: 978-3-031-27175-5
Verlag: Springer International Publishing
Erscheinungstermin: 16.06.2024
Lieferfrist: bis zu 10 Tage
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 informatics professional 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 informatics professional looking to learn and expand their understanding of this fast-moving and increasingly important discipline.

Produkteigenschaften


  • Artikelnummer: 9783031271755
  • Medium: Buch
  • ISBN: 978-3-031-27175-5
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 16.06.2024
  • Sprache(n): Englisch
  • Auflage: Third Auflage 2023
  • Serie: Health Informatics
  • Produktform: Kartoniert, Paperback
  • Gewicht: 996 g
  • Seiten: 528
  • Format (B x H x T): 178 x 254 x 29 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Herausgeber

Richesson, Rachel L.

Fultz Hollis, Kate

Andrews, James E.

Introduction to Clinical Research Informatics.- From Notations to Data: The Digital Transformation of Clinical Research.- Methodological Foundations of Clinical Research.- The Clinical Research Environment.- Biorepositories.- Study Protocol Representation.- Clinical Research Information Systems.- Public Policy Issues in Clinical Research Informatics.- Integrating EHR and Research.- Data Quality in Clinical Research.- Research Data Governance, Roles, and Infrastructure.- Informatics Approaches to Patient Recruitment.- Patient Registries for Clinical Research.- Managing clinical data/research data and phenotyping/cohort discovery.- Patient Reported Outcome Data.- Laboratory Data [New].- Molecular, Genetic and other -omic Data.- Data Sharing: Clinical Trials Registries, Results Databases, and Research Data Repositories.- Knowledge Representation and Ontologies.- Developing and Promoting Data Standards for Clinical Research.- Non-Hypothesis Driven Research: Data mining and knowledge Discovery.- Advancing Clinical Research through Natural Language Processing on Electronic Health Records: Traditional Machine Learning Meets Deep Learning.- Back to the Future: The Evolution of Pharmacovigilance in the Age of Digital Healthcare.- The Evolving Role of Consumers.- Research in Open Environments.- Research in Context of Learning Health Systems.