Year: 2025
Type: book-chapter
Abstract: The aim of this study is to convert nursing statements into the OMOP CDM for use in observational studies. We mapped nursing statements to SNOMED CT concepts and converted them into the OMOP CDM format through an ETL process. As a result, approximately 200 million nursing statements were loaded into the CDM's OBSERVATION, PROCEDURE_OCCURRENCE, and MEASUREMENT tables.
DOI: 10.3233/shti250417
Authors: Hyesil Jung, Seok Kim, Sooyoung Yoo
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4410448152
