Translational informatics: enabling high-throughput research paradigms

• Published in: Physiological genomics 2009-11, Vol.39 (3), p.131-140
• Main Authors: Payne, Philip R. O, Embi, Peter J, Sen, Chandan K
• Format: Article
• Language: English
• Subjects: Biomedical Research; Clinical Trials as Topic; Humans; Information Dissemination; Information Storage and Retrieval; Medical Informatics - methods; Models, Theoretical; Review; Translational Medical Research - methods
• ISSN: 1094-8341; 1531-2267
• DOI: 10.1152/physiolgenomics.00050.2009

1 Department of Biomedical Informatics, 2 Center for Clinical and Translational Science, and 3 Department of Surgery, The Ohio State University, Columbus; and 4 Center for Health Informatics and 5 Department of Medicine, University of Cincinnati, Cincinnati, Ohio A common thread throughout the clinical and translational research domains is the need to collect, manage, integrate, analyze, and disseminate large-scale, heterogeneous biomedical data sets. However, well-established and broadly adopted theoretical and practical frameworks and models intended to address such needs are conspicuously absent in the published literature or other reputable knowledge sources. Instead, the development and execution of multidisciplinary, clinical, or translational studies are significantly limited by the propagation of "silos" of both data and expertise. Motivated by this fundamental challenge, we report upon the current state and evolution of biomedical informatics as it pertains to the conduct of high-throughput clinical and translational research and will present both a conceptual and practical framework for the design and execution of informatics-enabled studies. The objective of presenting such findings and constructs is to provide the clinical and translational research community with a common frame of reference for discussing and expanding upon such models and methodologies. biomedical research