Key result
Deterministic data linkage achieves ~100% success integrating four databases to form the CREATE database.
Why the study?
The study was conducted to introduce a cardiovascular-specific database for pursuing precision health activities using big data analytics.
Observational (n=30,984)
Yes
The CREATE database successfully linked multiple clinical and administrative datasets with a 99.96% linkage rate to support big data analytics in cardiac precision health.
Supports cardiac precision health analytics via linked data; leaves open validation of clinical utility and generalizability.
BACKGROUND: eart Disease (APPROACH; a national clinical registry), Sunrise Clinical Manager (SCM) electronic medical record (city-wide), the Discharge Abstract Database (DAD), and the National Ambulatory Care Reporting System (NACRS). The intent of this work is to introduce a cardiovascular-specific database for pursuing precision health activities using big data analytics. METHODS: We used deterministic data linkage to link SCM electronic medical record data to APPROACH clinical registry data using patient identifier variables. The APPROACH-SCM data set was subsequently linked to DAD and NACRS to obtain inpatient and outpatient cohort data. We further validated the quality of the linkage, where applicable, in these databases by comparing against the Alberta Health Insurance Care Plan registry database. RESULTS: We achieved 99.96% linkage across these 4 databases. Currently, there are 30,984 patients with 35,753 catheterizations in the CREATE database. The inpatient cohort contained 65.75% (20,373/30,984) of the patient sample, whereas the outpatient cohort contained 29.78% (9226/30,984). The infrastructure and the process to update and expand the database has been established. CONCLUSIONS: CREATE is intended to serve as a database for supporting big data analytics activities surrounding cardiac precision health. The CREATE database will be managed by the Centre for Health Informatics at the University of Calgary, and housed in a secure high-performance computing environment.
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Lee et al. (2020) conducted an observational in Cardiovascular disease (n=30,984). Deterministic data linkage (CREATE database) was evaluated on Linkage rate across 4 databases. Deterministic data linkage successfully integrated four clinical and administrative databases to form the CREATE database, achieving a 99.96% linkage rate across 30,984 patients.
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