(EHL Poster) Towards Semantic Interoperability In Coding Patient Questionnaires Using SNOMED CT
Wednesday, March 11, 2026 10:00 AM to 4:00 PM · 6 hr. (US/Pacific)
Level 5 | Palazzo G
Workforce ConneXtions
Information
Due to the thousands of clinical concepts that can be coded using Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), variability in coding clinical concepts amongst coders may occur. Variability in coding presents a barrier to accurate data capture and reuse, harming future efforts towards semantic interoperability. This project mapped a patient engagement questionnaire from Moffitt Cancer Center to SNOMED CT, while creating best practices when coding clinical terms that may address the challenge of variability in coding. Improvements for practice, such as limiting the number of clinical concepts in a single question, avoiding post-coordination, and more, may improve the ability to map concepts to SNOMED CT.
Level
Introductory
Format
Case Study
Learning Objective #1
Describe semantic interoperability and how achieving it enhances the accuracy and usability of patient-reported data.
Learning Objective #2
Illustrate how SNOMED CT as a standardized clinical terminology supports semantic interoperability through standardized coding of clinical concepts.
Learning Objective #3
Identify common challenges in mapping patient engagement questionnaires to SNOMED CT, including issues with free-text responses and post-coordination.
Learning Objective #4
Demonstrate evidence-based strategies for designing survey instruments that promote accurate and consistent SNOMED CT coding, optimizing inter-coder agreement.
Learning Objective #5
Evaluate the impact of improved coding practices on data quality, reuse, and interoperability within areas such as research and quality improvement.
Session #
WFC-2.9
