Literature DB >> 11886704

Which coding system for therapeutic information in evidence-based medicine.

Nigel Strang1, Michel Cucherat, Jean Pierre Boissel.   

Abstract

The coding of information in the computer representation of clinical trials is essential both for the rationalisation of the activities involved in the production of therapeutic information for evidence-based decision support and for the integration of the messages produced by these activities with clinical information and electronic patient record systems. There is no standard coding system available, however, so building on existing evaluations, we performed a simple semi-quantitative evaluation of ICD-10, CDAM, MEDDRA, MESH, READ, SNOMED and UMLS to provide objective criteria for the choice of a coding system. Inclusion and exclusion criteria for four clinical trials recorded in TriSum constituted the corpus of evaluation texts. Criteria included coding coverage, size, integration and language coverage. The results of the comparison lead us to choose SNOMED as the most appropriate coding system for our needs. The absence of a European Medical Language System project is observed, as is the need for combinatorial as opposed to enumerative systems.

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Year:  2002        PMID: 11886704     DOI: 10.1016/s0169-2607(01)00151-1

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  2 in total

1.  Appraisal of the MedDRA conceptual structure for describing and grouping adverse drug reactions.

Authors:  Cédric Bousquet; Georges Lagier; Agnès Lillo-Le Louët; Christine Le Beller; Alain Venot; Marie-Christine Jaulent
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

2.  Use of SNOMED CT to represent clinical research data: a semantic characterization of data items on case report forms in vasculitis research.

Authors:  Rachel L Richesson; James E Andrews; Jeffrey P Krischer
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

  2 in total

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