For anyone interested in pharmaceutical industry data exchange standards, CDISC, clinical ontologies or semantic mapping, I'd highly recommend ClinLine's free Break and Learn webinars.
In today's session, Berber Snoeijer took us through biomedical term collections like SNOWMED, LOINC, OMOP and others and talked a bit about some cases of mapping from one to another. I think this discussion area is interesting for a couple of reasons. In early drug discovery activities, I've seen good work from people who standardised fields from heterogenous data sets with OMOP terms to support large-scale analyses. If comparing like with like is important for your work, this kind of semantic mapping can help.
One of my current interests is to see how well ICD 10 <--> MedDRA code mappings work. I see that there's already a project that maps ICD-10 to MedDRA. This seems like it would be useful in making it easier to identify records from routinely collected health data (e.g. England's HES data sets) that might describe things of interest like adverse events. I'll also be trying to read more on how well MedDRA codes might map to the NHS's OPCS-4 codes.
Thanks for a great seminar Berber!
https://lnkd.in/etSDC9sV
#cdisc #sdtm #semanticmapping #loinc #snowmed #omop