Work

From Fragmentation to Integration: Challenges and Solutions for Record Linkage in OMOP CDM

Year: 2025

Type: book-chapter

Abstract: Secondary use of data for research purposes is becoming increasingly important to improve medical research and thus patient care. In this context, linking different data sources provides a unique opportunity to gain a comprehensive overview of a patient's medical history. The interoperability of different data sets can be ensured by using the standardized data model OMOP. However, the record linkage of separate OMOP databases is an open problem. In this paper, we present an approach to link disparate datasets in OMOP using German clinical data and claims data as an example. We highlight three challenges and propose solutions for them to ensure accurate and efficient data integration.

Source: Studies in health technology and informatics

DOI: 10.3233/shti250619

Authors: Elisa Henke, Michele Zoch, Yuan Peng, Mirko Gruhl, Martin Sedlmayr

Institutions: University Hospital Carl Gustav Carus, Technische Universität Dresden

Language: English

Topic: Data Quality and Management

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: hybrid

Funder: Gemeinsame Bundesausschuss