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FW: Clinical trials result ontology.

From: Eric Neumann <eneumann@teranode.com>
Date: Tue, 23 Jan 2007 13:10:08 -0500
Message-ID: <A3970D83EC72E84B8D2C2400CD6F0B9FE9B16B@MI8NYCMAIL16.Mi8.com>
To: public-hcls-dse@w3.org

Might be relevant to our current tasks....

Working on the N3 examples for this friday.


-----Original Message-----
From: Dobson, Stephen [mailto:Stephen.Dobson@pfizer.com]
Sent: Tue 1/23/2007 10:34 AM
To: Eric Neumann
Subject: FW: Clinical trials result ontology.
Hi Eric, 


Are you aware of this site?  I'm not sure how long it's been around but
this is the first I've seen of it.  Seems like it's a nice start for
capturing output from trials in a computer understandable format. 




From: Dobson, Stephen 
Sent: Monday, January 22, 2007 11:00 PM
To: Kienle, Steven C; Burke, Paul; Slater, Ted; Swietek, Michael
Subject: Clinical trials result ontology. 


Hi All,


Check out "The randomized controlled trials (RCT) knowledgebase.  I
think this is the first example I've seen of a clinical trials ontology
in use. 






Seems like a nice way of representing trial results and
searching/combining reports across trials

The Trial Bank Project captures RCT information into RCT Bank, an
electronic, computer-understandable knowledge base that is specifically
designed to support systematic reviewing and evidence-based practice [7
<http://rctbank.ucsf.edu/home/introduction.html#7> ]. The data model for
RCT Bank (called RCT Schema
<http://rctbank.ucsf.edu/ontology/outline/index.htm> ) is guaranteed to
contain all the trial information needed for rigorously applying RCT
evidence to practice, as derived from a task analysis of systematic
reviewing <http://rctbank.ucsf.edu/tasks/tasks.html> . RCT Bank collects
over 145 unique types of trial information, including detailed
information about a trial's protocol (e.g., intervention, outcomes,
eligibility criteria), execution, follow-up, and summary and/or
subject-level results. RCT Bank can capture trials at any stage, from
planned to fully completed. By capturing all the important trial
information into a computer-understandable form, RCT Bank will allow
computers to 

*	analyze trial information more completely 
*	identify and retrieve trials more accurately 
*	facilitate critical appraisal of a trial 
*	facilitate systematic review across trials 
*	use RCT Bank as a knowledge base for clinical decision support 
*	identify potential new findings and gaps in the evidence through
data mining and other knowledge discovery methods 







                                Stephen Dobson 

Associate Director

Molecular Profiling informatics

Pfizer Global Research and Development




Telephone:      860 715 3128 (direct line)

E-Mail:             Stephen.dobson@pfizer.com



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Received on Tuesday, 23 January 2007 18:11:31 UTC

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