Work

Leveraging SNOMED CT for patient cohort identification over heterogeneous EHR data.

Year: 2025

Type: article

Abstract: de-identified COVID-19 Electronic Health Record dataset leveraging concept mappings between ICD-9-CM/ICD-10-CM and SNOMED CT. We evaluated the benefits and challenges of using SNOMED CT to perform cohort queries based on both query code sets and actual patients retrieved from the database, leveraging the original ICD-9-CM and ICD-10-CM as baselines. Manual review of 80 random cases revealed 65 cases containing 148 true positive codes and 25 cases containing 63 false positive codes. The manual evaluation also revealed issues in code naming, mappings, and hierarchical relations. Overall, our study indicates that while the SNOMED CT-driven query system holds considerable promise for comprehensive cohort queries, careful attention must be given to the challenges offalsely included codes and patients.

Source: PubMed

Authors: Xubing Hao, Yan Huang, Licong Cui, Xiaojin Li

Institution: The University of Texas Health Science Center at Houston

Language: English

Topic: Medical Coding and Health Information

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institutes of Health

Award: An informatics framework for SUDEP Risk Marker Identification and Risk Assessment