Literature DB >> 17238522

Coverage of clinical trials tasks in existing ontologies.

James R Deitzer1, Philip R O Payne, Justin B Starren.   

Abstract

Clinical research trials involve multiple, often simultaneous processes and corresponding data that collectively involve a diverse group of stakeholders. As efforts are ongoing to enable computable clinical trials and harmonize clinical research data, an ontology targeting the domain of clinical research is essential. As part of a larger project to develop a Clinical Trials scheduling and tracking application, the domain coverage of the UMLS and two component ontologies- SNOMED CT, and the NCI Thesaurus-was evaluated in the context of common clinical trial tasks and events. In total, 102 unique activities were abstracted from 20 protocols, representing a variety of domains, and manually mapped to the target ontologies. Coverage ranged from 84% for UMLS to 32% for the NCI Thesaurus.

Mesh:

Year:  2006        PMID: 17238522      PMCID: PMC1839431     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  1 in total

1.  Breaking the translational barriers: the value of integrating biomedical informatics and translational research.

Authors:  Philip R O Payne; Stephen B Johnson; Justin B Starren; Hugh H Tilson; David Dowdy
Journal:  J Investig Med       Date:  2005-05       Impact factor: 2.895

  1 in total
  2 in total

1.  The Primary Care Research Object Model (PCROM): a computable information model for practice-based primary care research.

Authors:  Stuart M Speedie; Adel Taweel; Ida Sim; Theodoros N Arvanitis; Brendan Delaney; Kevin A Peterson
Journal:  J Am Med Inform Assoc       Date:  2008-06-25       Impact factor: 4.497

2.  Improving Clinical Trial Participant Tracking Tools Using Knowledge-anchored Design Methodologies.

Authors:  Philip R O Payne; Peter J Embi; Stephen B Johnson; Eneida Mendonca; Justin Starren
Journal:  Appl Clin Inform       Date:  2010       Impact factor: 2.342

  2 in total

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