Difference between revisions of "Translational research informatics"

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''(This article was taken from Wikipedia)''
__NOTOC__
'''Translational research informatics''' (TRI) (or '''translational informatics''' or TI) is a sister domain to or a sub-domain of biomedical or [[health informatics|clinical informatics]] concerned with the application of [[Informatics (academic field)|informatics]] theory and methods to [[translational research]]. While translational informatics has elements in common with clinical informatics, it's primarily concerned with enabling multi-disciplinary research to accelerate clinical outcomes, with clinical trials often being the natural step beyond translational research.


'''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 (academic field)|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 informatics can be described in several different ways.


Translational Research as defined by the National Institutes of Health [http://www.nih.gov/] 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.
1. "integrated solutions to manage the: (i) logistics, (ii) data integration, and (iii) collaboration, and (iv] knowledge generation required by translational investigators and their supporting institutions."
<ref name="NDNAnderson">{{cite web |url=http://www.neurodevnet.ca/sites/default/files/neurodevnet/download/Anderson_NeuroDevNet_0103.ppt |archiveurl=https://web.archive.org/web/20140323010951/http://www.neurodevnet.ca/sites/default/files/neurodevnet/download/Anderson_NeuroDevNet_0103.ppt |format=PPT |title=Pragmatic translational informatics: Supporting collaborative science |author=Anderson, Nicholas |publisher=NeuroDevNet |date=2013 |archivedate=23 March 2014 |accessdate=23 March 2014}}</ref>


== Overview of Translational Research Informatics ==
...or in more lengthy terms:


'''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]].  
2. "the informatics subdiscipline that is primarily concerned with the development and application of biomedical informatics theories, methods, and best practices intended to support: 1) the acquisition of knowledge and information from the preceding sources; 2) the representation of such knowledge and information in an actionable format (e.g., readily consumed and analyzed, usually through the use of computational tools and applications), and the subsequent dissemination of that knowledge or information to targeted end-users or analytical platforms; and 3) the semantic integration of disparate data sources to support the discovery and verification/validation of complex bio-marker-to-phenotype relationships that may collectively define a translational biomedical knowledge model."<ref name="PayneTI">{{cite journal |url=http://physiolgenomics.physiology.org/content/39/3/131.full |journal=Physiological Genomics |year=November 2009 |volume=39 |issue=3 |page=131–140 |title=Translational informatics: enabling high-throughput research paradigms |author=Payne, Philip R. O.; Embi, Peter J.; Sen, Chandan K. |doi=10.​1152/​physiolgenomics.​00050.​2009 |accessdate=22 March 2014}}</ref>


Translational Research Informatics is relatively new, with most CTSA [http://www.ctsaweb.org/] 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 [http://www.genologics.com] and InforSense. Translational Research Informatics systems are expected to rapidly develop and evolve over the next couple of years.  
The field is relatively new, with most Clinical and Translational Science Awards (CTSAs) funding and research going into informatics tools and systems enabling the end-to-end TI requirements.<ref name="CTSATools">{{cite web |url=https://www.ctsacentral.org/reports/sharing/tools/public |title=Tool Awareness Project |publisher=CTSA |accessdate=22 March 2014}}</ref>


== Systems in Translational Research Informatics ==
==Systems in translational informatics==
 
The informatics systems involved in translational informatics tend to fall between and often inter-operate with health informatics and [[electronic medical record]] systems, clinical trial management systems, and statistical analysis and data mining tools.


{| class="wikitable"
{| class="wikitable"
|-
|-
! System Type
! System type
! Description of System
! Description of system
|-
|-
| Translational Study Management
| Translational study management
| Systems to manage investigator lead biomarker validation studies / outcomes / observational studies.
| Systems to manage investigator-lead biomarker validation studies and observational studies
|-
|-
| Electronic Patient Questionnaires
| Electronic patient questionnaires
| Web based forms for capturing participant demographic, condition, treatment, and outcomes information.
| Web-based forms for capturing participant demographic, condition, treatment, and outcome information
|-
|-
| Clinical Information Management
| 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]].
| Systems to integrate clinical annotations extracted from various source systems, like [[Health Level 7|HL7]] electronic medical records, cancer registries, clinical [[laboratory information system]]s, and data warehouses
|-
|-
| Biorepository Management Systems
| Biorepository management systems
| Manage biospecimens derrived from study participants, operating rooms, etc.
| Manage biospecimens derived from study participants, operating rooms, etc.
|-
|-
| [[Laboratory Information Management Systems]]
| [[Laboratory information management system]]s and [[laboratory information system]]s
| Systems to manage clinical, analytical, and life sciences core technology laboratories - often conducting [[genomics]], [[proteomics]], metabolomics, molecular imaging, [[peptide synthesis]], [[flow cytometry]], etc.
| Systems to manage clinical, analytical, and life sciences core technology laboratories which often conduct [[genomics]], [[proteomics]], metabolomics, molecular imaging, [[peptide synthesis]], and [[flow cytometry]] activities
|-
|-
| Systems Biology / Science Data Management
| Systems biology / science data management
| A data base and content management system to archive raw instrument files and database science results data.
| A database and content management system to archive raw instrument files and database test results and other data
|-
|-
| Research Collaboration System
| Research collaboration system
| A software solution to enable investigators and their research teams to share project information, results data, and insights.
| 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 [http://www.researchinformatics.org/index.php?option=com_mambowiki&page=Main_Page&page_heading=CRI%20Wiki&show_pageheading=1&allowanonymoususers=0 Clinical Research Informatics Wiki (CRI Wiki)], a wiki dedicated to issues in Clinical and Translational Research Informatics.


==See also==
==See also==
[[Bioinformatics]]
[[Bioinformatics]]


== Related Web Sites ==
==Further reading==
[http://www.researchinformatics.org ResearchInformatics.org]<br />
 
[http://nihroadmap.nih.gov/ NIH Roadmap]<br />
* {{cite journal |url=http://jamia.bmj.com/content/19/2/153.full |journal=Journal of the American Medical Informatics Association |year=January 2012 |issue=19 |page=153–155 |title=Translational informatics: an industry perspective |author=Cantor, Michael N. |doi=10.1136/amiajnl-2011-000588}}
[http://ctsaweb.org/ Clinical and Translational Science Awards]<br />
* {{cite journal |url=http://physiolgenomics.physiology.org/content/39/3/131.full |journal=Physiological Genomics |year=November 2009 |volume=39 |issue=3 |page=131–140 |title=Translational informatics: enabling high-throughput research paradigms |author=Payne, Philip R. O.; Embi, Peter J.; Sen, Chandan K. |doi=10.​1152/​physiolgenomics.​00050.​2009}}
[http://www.amia.org American Medical Informatics Association (AMIA)]<br />
 
==External sites==
* [https://www.ctsacentral.org/ Clinical and Translational Science Awards]<br />
* [http://www.amia.org American Medical Informatics Association (AMIA)]<br />
 
==Notes==
 
An element or two of this article is reused from [http://en.wikipedia.org/wiki/Translational_research_informatics the Wikipedia article].
 
==References==
<references />


[[Category:Informatics]]
[[Category:Informatics]]

Latest revision as of 19:38, 24 April 2014

Translational research informatics (TRI) (or translational informatics or TI) is a sister domain to or a sub-domain of biomedical or clinical informatics concerned with the application of informatics theory and methods to translational research. While translational informatics has elements in common with clinical informatics, it's primarily concerned with enabling multi-disciplinary research to accelerate clinical outcomes, with clinical trials often being the natural step beyond translational research.

Translational research informatics can be described in several different ways.

1. "integrated solutions to manage the: (i) logistics, (ii) data integration, and (iii) collaboration, and (iv] knowledge generation required by translational investigators and their supporting institutions." [1]

...or in more lengthy terms:

2. "the informatics subdiscipline that is primarily concerned with the development and application of biomedical informatics theories, methods, and best practices intended to support: 1) the acquisition of knowledge and information from the preceding sources; 2) the representation of such knowledge and information in an actionable format (e.g., readily consumed and analyzed, usually through the use of computational tools and applications), and the subsequent dissemination of that knowledge or information to targeted end-users or analytical platforms; and 3) the semantic integration of disparate data sources to support the discovery and verification/validation of complex bio-marker-to-phenotype relationships that may collectively define a translational biomedical knowledge model."[2]

The field is relatively new, with most Clinical and Translational Science Awards (CTSAs) funding and research going into informatics tools and systems enabling the end-to-end TI requirements.[3]

Systems in translational informatics

The informatics systems involved in translational informatics tend to fall between and often inter-operate with health informatics and electronic medical record systems, clinical trial management systems, and statistical analysis and data mining tools.

System type Description of system
Translational study management Systems to manage investigator-lead biomarker validation studies and observational studies
Electronic patient questionnaires Web-based forms for capturing participant demographic, condition, treatment, and outcome information
Clinical information management Systems to integrate clinical annotations extracted from various source systems, like HL7 electronic medical records, cancer registries, clinical laboratory information systems, and data warehouses
Biorepository management systems Manage biospecimens derived from study participants, operating rooms, etc.
Laboratory information management systems and laboratory information systems Systems to manage clinical, analytical, and life sciences core technology laboratories which often conduct genomics, proteomics, metabolomics, molecular imaging, peptide synthesis, and flow cytometry activities
Systems biology / science data management A database and content management system to archive raw instrument files and database test results and other data
Research collaboration system A software solution to enable investigators and their research teams to share project information, results data, and insights

See also

Bioinformatics

Further reading


External sites

Notes

An element or two of this article is reused from the Wikipedia article.

References

  1. ↑ Anderson, Nicholas (2013). "Pragmatic translational informatics: Supporting collaborative science" (PPT). NeuroDevNet. Archived from the original on 23 March 2014. https://web.archive.org/web/20140323010951/http://www.neurodevnet.ca/sites/default/files/neurodevnet/download/Anderson_NeuroDevNet_0103.ppt. Retrieved 23 March 2014. 
  2. ↑ Payne, Philip R. O.; Embi, Peter J.; Sen, Chandan K. (November 2009). "Translational informatics: enabling high-throughput research paradigms". Physiological Genomics 39 (3): 131–140. doi:10.​1152/​physiolgenomics.​00050.​2009. http://physiolgenomics.physiology.org/content/39/3/131.full. Retrieved 22 March 2014. 
  3. ↑ "Tool Awareness Project". CTSA. https://www.ctsacentral.org/reports/sharing/tools/public. Retrieved 22 March 2014. 
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