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Four-Stage Data Quality Framework for Multi-Source Oncology Real-World Data Integration: Validation Using Health Datasets Mapped to the OMOP Common Data Model

2026-07-24

Abstract excerpt

<title>Abstract</title> <p> <bold>Purpose:</bold> Real-world data (RWD) quality assurance is essential for oncology research and regulatory decision-making, yet validated, multi-stage frameworks for heterogeneous, multi-source oncology RWD remain inconsistently documented. This study describes and empirically validates a regulated, four-stage data quality (DQ) framework for integrating two independent oncology...

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Literature Corpus work
dacfbf57-fe4d-5a0a-8c72-fbb7abea8129
DOI
10.21203/rs.3.rs-10452670/v1
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Four-Stage Data Quality Framework for Multi-Source Oncology Real-World Data Integration: Validation Using Health Datasets Mapped to the OMOP Common Data ModelDOI 10.21203/rs.3.rs-10452670/v1
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