Creating a SNOMED CT reference set for common endocrine disorders based on routine clinic correspondence
Authors' conclusion
Automated text parsing of structured endocrine correspondence allowed the creation of a SNOMED CT reference set for common endocrine disorders. This will facilitate funding and planning of service provision in endocrinology by allowing more accurate characterisation of the patient cohorts needing specialist endocrine care.
Study context
- Population
- Adults attending a tertiary outpatient endocrine clinic, 2018–2019, from 2 regional areas of NHS Grampian (Aberdeen City and Aberdeenshire)
- Participants
- 1,870 adults
- Outcome
- SNOMED CT coding of endocrine clinic problem statements
Methodological detailssingle-centre, tertiary outpatient clinic, semi-automated extraction
- Single-centre
- Tertiary outpatient clinic
- Semi-automated extraction
Main finding
As reported in the abstract
- Relevant endocrine diagnoses identified
- 298
- Findings identified
- 99
- Procedures identified
- 142
- Commonly seen endocrine conditions
- 88 (29.5%)
- Less commonly seen endocrine conditions
- 210 (70.5%)
Observational data: associations, not effects.
Further findings
Consultant endocrinologist survey agreement on common endocrine conditions
- Conditions with 100% agreement
- 28
- Conditions with 90%-99% agreement
- 25
- Conditions with 50%-89% agreement
- 31
- Conditions with less than 59% agreement (excluded)
- 4
Original publication
Creating a SNOMED CT reference set for common endocrine disorders based on routine clinic correspondence. Clin Endocrinol (Oxf). Published 9 August 2023. doi:10.
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