Searchable abstracts of presentations at key conferences in endocrinology

ea0081ep660 | Pituitary and Neuroendocrinology | ECE2022

Automated data extraction of structured clinical correspondence with SNOMED coding to assess regional epidemiology of common pituitary conditions

Hao Alan Yap Shao , Graveling Alex , Abraham Prakash , Philip Sam

Introduction: Pituitary disorders are associated with increased mortality and morbidity. Data on the prevalence of pituitary disorders is scarce. Formal routine coding of diagnoses in outpatient endocrine practice lags behind medical coding of inpatients. Standardised coding could improve our understanding of disease burden and highlight areas of increasing need within our services.Objective: Automatically extract and assign SNOMED codes for endocrine di...