A reminder to add your national content development updates as a comment on this topic prior to the Sydney meeting in a couple of weeks (20th or 21st October depending on your time zone).
Updates to Clinical imaging procedures with support from SI to improve these concepts, especially adding lateralised versions of these procedures
Updates to Pathology observables to both improve modelling of existing concepts and add new concepts to support user requirements
Alignment of the UK Drug extension with SI naming principles for FSNs, Synonyms and Semantic tags. PTs remain speciifc to the UK. This is part of a larger ongoing piece of work to align where possible the UK Drug extension with SI National Drug Extension principles.
Planned publication of map refsets linking UK Drug content with GTINs (barcodes)
Ongoing work with the UK’s NHS Pathways team to support their move to using SNOMED CT as their coding system
We also authored concepts to support assessment scales, shared decision-making, obesity pathways and allergy testing. On the allergy testing we have developed content to support penicillin allergy de-labelling.
We continue to create Pathology evaluation procedures to support the RCPA and National Pathology Test Catalogue for eRequesting. We’re also supporting RANZCR in developing a similar catalogue for Radiology, but have not created any content yet, while we waited for the promotion work at SI finish - so will revisit this again now it’s done.
Content to support patient reported outcome/experience measures, especially around the Activities of daily living.
Triaging a massive corpus of requests from Allied Health (all areas) partners to foster SNOMED CT adoption.
Alignment analysis of Assessment, Scales, Procedures and Observables
Terminology Support for National Health Service Directory. This primarily focuses on <224930009 |Services (qualifier value)| - but also touches on 394658006 |Clinical specialty (qualifier value)| and 223366009 |Healthcare professional (occupation)|
Content development aside, our technical team are developing AI assisted tools to help with quality evaluation and improvement of the terminology.