Engineering knowledge exchange for translational research informatics
Engineering effective knowledge exchange pathways between scientists and clinicians will accelerate the development and improvement of clinical treatments extracted from lab bench experiments. Many standards development organizations in the field of translational research informatics have attempt...
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| Language: | English en |
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2010
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| Online Access: | http://hdl.handle.net/1828/3176 |
| Summary: | Engineering effective knowledge exchange pathways between scientists and clinicians
will accelerate the development and improvement of clinical treatments extracted
from lab bench experiments. Many standards development organizations in
the field of translational research informatics have attempted to prescribe mechanisms
which would provide these knowledge exchange pathways; however, concrete implementations
of these standards and the software structures which support them are
still lacking. We have explored key technologies and techniques which may facilitate
knowledge exchange through clinical coding, a domain specific version of the more
general technique of semantic annotation. During the development process we identified and provided potential solutions to four primary problem areas in engineering
software enabled knowledge exchange pathways for translational research: architecture,
terminology, validation and interface design. We provide both a technical and
practical evaluation of a multicomponent architecture which was conceived as a mechanism
for producing knowledge exchange pathways between researchers in the field
of cancer informatics; however, the principles and process which we apply to cancer
informatics could easily be applied to other areas of clinical informatics. |
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