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Représentation formelle des critères d’éligibilité aux essais cliniques: Exigences sémantiques de représentation des relations

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Part of the book series: Informatique et Santé ((INFORMATIQUE,volume 1))

Abstract

Reference terminologies based and computable knowledge representations for eligibility criteria are needed to provide computer-based decision support for automated screening, and other purposes. RuleEd and ERGO, a tool and an ad-hoc language for encoding CT, are recent initiatives to achieve this goal. RuleEd defines a collection of connectors that aims at connecting domain concepts to represent criteria in a formal way. Our study is focused on these connectors. Method: We assessed the RuleEd native collection (Ci) of connectors and we proposed an improved new version (Co). Then, from two samples of Ci and Co, we evaluated how SNOMED CT and NCIT could encode and represent the RuleEd connectors. Results: RuleEd provides 362 connectors organized in 10 categories. These categories are confusing. Many Ci connectors are redundant and we reduced Ci into 133 Co connectors (−64%). SNOMED CT has the best coverage rate for encoding Ci and Co connectors (47% up to 61%). Nevertheless, both terminologies have still open issues, especially a lack of formal representation and need to be improved, to be used for an automatic reasoning purpose.

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Références

  1. Mannel RS, Walker JL, Gould N, Scribner DR, Kamelle S, Tillmanns T, McMeekin DS, Gold MA. Impact of individual physicians on enrollment of patients into clinical trials. Am. J. Clin. Oncol 2003; 26(2): 171–173

    Article  Google Scholar 

  2. Winn RJ. Obstacles to the accrual of patients to clinical trials in the community setting. Semin. Oncol 1994; 21(4 Suppl 7): 112–117

    Google Scholar 

  3. Mansour EG. Barriers to clinical trials. Part III: Knowledge and attitudes of health care providers. Cancer 1994; 74(9 Suppl): 2672–2675

    Article  Google Scholar 

  4. McKinney MM, Weiner BJ, Wang V. Recruiting participants to cancer prevention clinical trials: lessons from successful community oncology networks. Oncol Nurs Forum 2006; 33(5): 951–959

    Article  Google Scholar 

  5. Somkin CP, Altschuler A, Ackerson L, Geiger AM, Greene SM, Mouchawar J, Holup J, Fehrenbacher L, Nelson A, Glass A, Polikoff J, Tishler S, Schmidt C, Field T, Wagner E. Organizational barriers to physician participation in cancer clinical trials. Am J Manag Care 2005; 11(7): 413–421

    Google Scholar 

  6. ClinicalTrials.gov, a service of the U.S. National Institutes of Health. Disponible sur: 〈http://clinicaltrials.gov/ct2/info/glossary#inclusion〉 (Consulté le 06/01/2010)

    Google Scholar 

  7. Rubin DL, Gennari JH, Srinivas S, Yuen A, Kaizer H, Musen MA, Silva JS. Tool support for authoring eligibility criteria for cancer trials. Proc AMIA Annual Symp 1999; 369–373

    Google Scholar 

  8. Weng C, Tu SW, Sim I, Richesson R. Formal representation of eligibility criteria: A literature review. J Biomed Inform 2010; 43(3): 451–467

    Article  Google Scholar 

  9. Niland J. ASPIRE: agreement on standardized protocol inclusion requirements for eligibility. 2007. Disponible sur: 〈http://hssp-cohort.wikispaces.com/file/view/ASPIRE+CDISC+Intrachange+July+10+2007+Final.ppt〉 (Consulté le 03/02/2010)

    Google Scholar 

  10. ERGO: a template-based expression language for encoding eligibility criteria. 2009. Disponible sur: 〈http://128.218.179.58:8080/homepage/ERGO_Technical_Documentation.pdf/〉. (Consulté le 18/01/2010)

    Google Scholar 

  11. Tu S, Peleg M, Carini S, Bobak M, Rubin D, Sim I. A Practical Method for Transforming Free-Text Eligibility Criteria into Computable Criteria. Disponible sur: 〈http://www.stanford.edu/~rubin/pubs/BMIR-2009-1363.pdf/〉 (Consulté le 27/01/2010)

    Google Scholar 

  12. Olasov B, Sim I. RuleEd, a web-based semantic network interface for constructing and revising computable eligibility rules. Proc AMIA Annual Symp 2006; 1051

    Google Scholar 

  13. RuleEd, rule editor prototype. Disponible sur: 〈http://rctbank.ucsf.edu:8081/BaT/ RuleEd.html〉 (Consulté le 21/01/2010)

    Google Scholar 

  14. Ceusters WM, Spackman KA, Smith B. Would SNOMED CT benefit from realism-based ontology evolution? Proc AMIA Annual Symp 2007; 105–9

    Google Scholar 

  15. Time Ontology in OWL. Disponible sur:〈http://www.w3.org/TR/2006/WD-owl-time-20060927/〉 (Consulté le 21/01/2010)

    Google Scholar 

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Correspondence to Valérie Bertaud-Gounot .

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Massot, M., Cuggia, M., Duvauferrier, R., Bertaud-Gounot, V. (2011). Représentation formelle des critères d’éligibilité aux essais cliniques: Exigences sémantiques de représentation des relations. In: Staccini, P.M., Harmel, A., Darmoni, S.J., Gouider, R. (eds) Systèmes d’information pour l’amélioration de la qualité en santé. Informatique et Santé, vol 1. Springer, Paris. https://doi.org/10.1007/978-2-8178-0285-5_4

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  • DOI: https://doi.org/10.1007/978-2-8178-0285-5_4

  • Publisher Name: Springer, Paris

  • Print ISBN: 978-2-8178-0284-8

  • Online ISBN: 978-2-8178-0285-5

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