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ABSTRACT: Introduction
There remains a lack of understanding of the etiology and treatment effectiveness for Adolescent idiopathic scoliosis (AIS). The objective of this study was to develop and validate a computable phenotype for patients with AIS to facilitate rapid learning through large-scale observational research using real-world data.Study design
Four computable phenotype (CP) algorithms were developed and tested. The algorithms were executed against the Shriners Children's (SC) Research Data Warehouse using the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) from January 1, 2016 to December 31, 2022. CPs composed of diagnosis and imaging procedure utilization codes were evaluated iteratively against a prospective registry of scoliosis patients. The h
SUBMITTER: Floyd SB
PROVIDER: S-EPMC12569449 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature