Literature DB >> 15120657

An ontology of randomized controlled trials for evidence-based practice: content specification and evaluation using the competency decomposition method.

Ida Sim1, Ben Olasov, Simona Carini.   

Abstract

Randomized controlled trials (RCTs) are one of the least biased sources of clinical research evidence, and are therefore a critical resource for the practice of evidence-based medicine. With over 10,000 new RCTs indexed in Medline each year, knowledge systems are needed to help clinicians translate evidence into practice. Common ontologies for RCTs and other domains would facilitate the development of these knowledge systems. However, no standard method exists for developing domain ontologies. In this paper, we describe a new systematic approach to specifying and evaluating the conceptual content of ontologies. In this method, called competency decomposition, the target task for an ontology is hierarchically decomposed into subtasks and methods, and the ontology content is specified by identifying the domain information required to complete each of the subtasks. We illustrate the use of this competency decomposition approach for the content specification and evaluation of an RCT ontology for evidence-based practice.

Mesh:

Year:  2004        PMID: 15120657     DOI: 10.1016/j.jbi.2004.03.001

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  22 in total

1.  Achieving high research reporting quality through the use of computational ontologies.

Authors:  Amrapali Zaveri; Luciana Cofiel; Jatin Shah; Shreyasee Pradhan; Edwin Chan; Olivier Dameron; Ricardo Pietrobon; Beng Ti Ang
Journal:  Neuroinformatics       Date:  2010-12

2.  MachineProse: an ontological framework for scientific assertions.

Authors:  Deendayal Dinakarpandian; Yugyung Lee; Kartik Vishwanath; Rohini Lingambhotla
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

3.  An ontology for PACS integration.

Authors:  Charles E Kahn; David S Channin; Daniel L Rubin
Journal:  J Digit Imaging       Date:  2006-12       Impact factor: 4.056

4.  RuleEd, a web-based semantic network interface for constructing and revising computable eligibility rules.

Authors:  Ben Olasov; Ida Sim
Journal:  AMIA Annu Symp Proc       Date:  2006

5.  Automatic data source identification for clinical trial eligibility criteria resolution.

Authors:  Chaitanya Shivade; Courtney Hebert; Kelly Regan; Eric Fosler-Lussier; Albert M Lai
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

6.  Automated information extraction of key trial design elements from clinical trial publications.

Authors:  Berry de Bruijn; Simona Carini; Svetlana Kiritchenko; Joel Martin; Ida Sim
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

7.  An interactive tool for visualizing design heterogeneity in clinical trials.

Authors:  Maria-Elena Hernandez; Simona Carini; Margaret-Anne Storey; Ida Sim
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

8.  The Ontology of Clinical Research (OCRe): an informatics foundation for the science of clinical research.

Authors:  Ida Sim; Samson W Tu; Simona Carini; Harold P Lehmann; Brad H Pollock; Mor Peleg; Knut M Wittkowski
Journal:  J Biomed Inform       Date:  2013-11-13       Impact factor: 6.317

9.  Development and evaluation of an ontology for guiding appropriate antibiotic prescribing.

Authors:  Tiffani J Bright; E Yoko Furuya; Gilad J Kuperman; James J Cimino; Suzanne Bakken
Journal:  J Biomed Inform       Date:  2011-10-11       Impact factor: 6.317

Review 10.  Formal representation of eligibility criteria: a literature review.

Authors:  Chunhua Weng; Samson W Tu; Ida Sim; Rachel Richesson
Journal:  J Biomed Inform       Date:  2009-12-23       Impact factor: 6.317

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