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Thorough yet practical review of the use of technology and systems to drive modern translational medicine
Innovative pragmatic approach to a highly complex IT/healthcare ecosystem
Defines the clinical picture currently and suggests a roadmap for the field while emphasizing the issues that need to be addressed
Emergent and multidisciplinary research paradigms have fundamentally transformed biomedical science and the delivery of clinical care. A common theme spanning such transformative changes is the use of rigorous and systematic approaches to the collection, management, integration, analysis, and dissemination of data. Unfortunately, the absence of well-established theoretical and practical frameworks intended to address such needs remains a major impediment to the realization of a translational and knowledge-driven healthcare system. This book provides practical advice on the integrative and translational methodologies and frameworks that have transformed modern biomedical research
Translational Informatics presents a broad framework and specific examples of how the deep integration of biomedical informatics with both biomedical research and clinical care delivery is essential to overcoming such barriers and achieving the benefits of a knowledge-based approach to the delivery of high-performance, quality, safe, and individually tailored healthcare. It will be of great value to a wide range of professionals involved in the discipline, as it:
Defines the challenges and opportunities surrounding translational medicine, with a focus on the data, information, and knowledge needed to achieve such a healthcare model
Introduces readers to core biomedical informatics theories and methods underlying the translational medicine paradigm
Discusses future directions for the field of translational medicine
Content Level »Professional/practitioner
Keywords »Biomedical informatics - Translational medicine
Defining Translational Medicine.- Synergies between Biomedical Informatics and Translational Medicine.- Learning Healthcare Systems.- Participatory Data (Beyond Organizational Boundaries).- Phenotyping.- ‘Omics’.- The Bibliome.- A primer on clinical research informatics.- A primer on translational bioinformatics.- Big Data and Data Science.- Towards a vision of Evidence Generating Medicine.- Integrating the Translational Informatics spectrum.- The Future of Translational Medicine.