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. 2023 Jan 10;6(1):ooac108.
doi: 10.1093/jamiaopen/ooac108. eCollection 2023 Apr.

Integrating real-world data to assess cardiac ablation device outcomes in a multicenter study using the OMOP common data model for regulatory decisions: implementation and evaluation

Affiliations

Integrating real-world data to assess cardiac ablation device outcomes in a multicenter study using the OMOP common data model for regulatory decisions: implementation and evaluation

Yue Yu et al. JAMIA Open. .

Abstract

The objective of this study is to describe application of the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) to support medical device real-world evaluation in a National Evaluation System for health Technology Coordinating Center (NESTcc) Test-Case involving 2 healthcare systems, Mercy Health and Mayo Clinic. CDM implementation was coordinated across 2 healthcare systems with multiple hospitals to aggregate both medical device data from supply chain databases and patient outcomes and covariates from electronic health record data. Several data quality assurance (QA) analyses were implemented on the OMOP CDM to validate the data extraction, transformation, and load (ETL) process. OMOP CDM-based data of relevant patient encounters were successfully established to support studies for FDA regulatory submissions. QA analyses verified that the data transformation was robust between data sources and OMOP CDM. Our efforts provided useful insights in real-world data integration using OMOP CDM for medical device evaluation coordinated across multiple healthcare systems.

Keywords: OMOP CDM; UDI; medical data standardization; medical device.

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Figures

Figure 1.
Figure 1.
Data Integration model at Mercy and Mayo Clinic.
Figure 2.
Figure 2.
OMOP CDM statistics for tables used. CDM: common data model; OMOP: Observational Medical Outcomes Partnership.
Figure 3.
Figure 3.
Concept set statistics by different analysis usage categories. *The codes in the “safety outcome” set are used to identify charts for review for potential safety events. All safety outcomes were identified by physician chart review.

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