Über den Autor
Drs. Richesson and Andrews work with a data centre that supports a variety of diseases in the Pediatric Epidemiology Centre at the University of South Florida.Dr. Richesson has a very broad training on standards and wrote the first published journal article on the topic of data standards in clinical research. Dr. Andrews is a tenured professor in Information Science and has published several articles in leading journals in clinical research informatics.
Section I: Contexts of Clinical Research Informatics.- Introduction to Clinical Research Informatics.- From Notations to Data: The Digital Transformation of Clinical Research.- Clinical Research Environment. - Statistical and Study Design Foundations of Clinical Research.- Informatics Approaches to Participant Recruitment.- The Evolving Role of Consumers.- Clinical Research in the Post-Genomic Era.- Section II: Data Management and Systems in Clinical Research.- Clinical Research Information Systems.- Study Protocol Representation.- Data Quality in Clinical Research.- Patient-Reported Outcome Data.- Biobanking Challenges and Informatics Opportunities.- Patient Registries.- Section III: Knowledge Representation and Discovery.- Knowledge Representation and Ontologies.- Non-hypothesis Driven Research: Data Mining and Knowledge Discovery.- Natural Language Processing, Electronic Health Records, and Clinical Research.- Section IV: The Future of Clinical Research, Health, and Clinical Research Informatics.- Data Sharing: Electronic Health Records and Research Interoperability.- Standards Development and the Future of Research Data Sources, Interoperability, and Exchange.- Pharmacovigilance.- Clinical Trials Registries and Results Databases.- Future Directions in Clinical Research Informatics.- Index.
The purpose of the book is to provide an overview of clinical research (types), activities, and areas where informatics and IT could fit into various activities and business practices. This book will introduce and apply informatics concepts only as they have particular relevance to clinical research settings.
Detailed focus on clinical research informatics without being diverted into areas covering actual clinical practiceExtensive coverage of the intersection between clinical research, data standards, and information science