The suitability of UMLS and SNOMED-CT for encoding outcome concepts.

ABSTRACT:

Objective

Outcomes are important clinical study information. Despite progress in automated extraction of PICO (Population, Intervention, Comparison, and Outcome) entities from PubMed, rarely are these entities encoded by standard terminology to achieve semantic interoperability. This study aims to evaluate the suitability of the Unified Medical Language System (UMLS) and SNOMED-CT in encoding outcome concepts in randomized controlled trial (RCT) abstracts.

Materials and methods

We iteratively developed and validated an outcome annotation guideline and manually annotated clinically significant outcome entities in the Results and Conclusions sections of 500 randomly selected RCT abstracts on PubMed. The extracted outcomes were fully, partially, or not mapped to the UMLS via Me

SUBMITTER: Newbury A 

PROVIDER: S-EPMC10654851 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature