Translational Research informatics

From LIMSWiki
Revision as of 11:59, 22 July 2011 by Mikelong88888 (talk | contribs) (Creation of article)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search

(This article was taken from Wikipedia)

Translational Research Informatics (TRI) is a sister domain to or a sub-domain of Biomedical informatics or Medical Informatics concerned with the application of informatics theory and methods to translational research. There is some overlap with the related domain of Clinical Research Informatics, but TRI is more concerned with enabling multi-disciplinary research to accelerate clinical outcomes, with clinical trials often being the natural step beyond translational research.

Translational Research as defined by the National Institutes of Health [1] includes two areas of translation. One is the process of applying discoveries generated during research in the laboratory, and in preclinical studies, to the development of trials and studies in humans. The second area of translation concerns research aimed at enhancing the adoption of best practices in the community. Cost-effectiveness of prevention and treatment strategies is also an important part of translational research.

Overview of Translational Research Informatics

Translational Research Informatics can be described as “An integrated software solution to manage the: (i) logistics, (ii) data integration, and (iii) collaboration, required by translational investigators and their supporting institutions.” It is the class of informatics systems that sits between and often interoperates with: (i) Health Information Technology/Electronic Medical Record systems, (ii) CTMS/Clinical Research Informatics, and (iii) statistical analysis and data mining.

Translational Research Informatics is relatively new, with most CTSA [2] awardee academic medical centers actively acquiring and integrating systems to enable the end-to-end TRI requirements. One advanced TRI system is being implemented at the Windber Research Institute in collaboration with GenoLogics [3] and InforSense. Translational Research Informatics systems are expected to rapidly develop and evolve over the next couple of years.

Systems in Translational Research Informatics

System Type Description of System
Translational Study Management Systems to manage investigator lead biomarker validation studies / outcomes / observational studies.
Electronic Patient Questionnaires Web based forms for capturing participant demographic, condition, treatment, and outcomes information.
Clinical Information Management Systems to integrate clinical annotations extracted from various sources systems, like HL7 Electronic Medical Records, Cancer Registries, Clinical Data Management Systems, and Clinical Data Warehouses.
Biorepository Management Systems Manage biospecimens derrived from study participants, operating rooms, etc.
Laboratory Information Management Systems Systems to manage clinical, analytical, and life sciences core technology laboratories - often conducting genomics, proteomics, metabolomics, molecular imaging, peptide synthesis, flow cytometry, etc.
Systems Biology / Science Data Management A data base and content management system to archive raw instrument files and database science results data.
Research Collaboration System A software solution to enable investigators and their research teams to share project information, results data, and insights.

CTRI Dedicated WIKI

Further discussion of this domain can be found at the Clinical Research Informatics Wiki (CRI Wiki), a wiki dedicated to issues in Clinical and Translational Research Informatics.

See also

Bioinformatics

Related Web Sites

ResearchInformatics.org
NIH Roadmap
Clinical and Translational Science Awards
American Medical Informatics Association (AMIA)