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A large scale, long term clinical study faced significant quality issues with its medications use data which had been collected from participants using paper forms and manually entered into a data capture system. A method was developed that automatically mapped 72.2% of the unique medication names collected for the study to the AMT and SNOMED CT-AU using Ontoserver, a terminology server for clinical ontologies. These initial results are promising and, with further improvements to the algorithms and evaluation, are expected to greatly improve the analysis of medication data gathered from the study.


Simon J McBride, Michael J Lawley, Hugo Leroux, Simon Gibson. Using Australian medicines terminology (AMT) and SNOMED CT-AU to better support clinical research. Studies in health technology and informatics. 2012;178:144-9

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PMID: 22797033

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