ArticleJournal of translational medicine2020
Assessment of scalability and performance of the record linkage tool E-PIX
Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Secondary use of health care data and left-over biosamples within the 'Medical Informatics Initiative' (MII): a quasi-randomized controlled evaluation of patient perceptions and preferences regarding the consent process.BMC medical informatics and decision making · 2022Trial
- Mainzelliste: Ten years of pseudonymization, record linkage, and informed consent management.Patterns (New York, N.Y.) · 2026Article
- Concept and feasibility of privacy-preserving record linkage of cancer registry data and claims data in Germany: results from the DigiNet study on stage IV non-small cell lung cancer.Journal of cancer research and clinical oncology · 2025Article
- The Advanced Confidentiality Engine as a Scalable Tool for the Pseudonymization of Biomedical Data in Translational Settings: Development and Usability Study.Journal of medical Internet research · 2025Article
- Assessing cancer risk in firefighters in Northern Germany: a retrospective cohort study.BMC public health · 2025Article
- The benefits of fully electronic consent management and consent collection via a tablet PC in supporting time-critical pandemic research-an example from a NAPKON COVID-19 project.Frontiers in digital health · 2025Article
- Cancer incidence and mortality in the occupational cohort of a German toxic waste landfill: a retrospective cohort study.BMC public health · 2024Article
- Development of a Trusted Third Party at a Large University Hospital: Design and Implementation Study.JMIR medical informatics · 2024Article
- 3LGM2IHE: Requirements for Data-Protection-Compliant Research Infrastructures-A Systematic Comparison of Theory and Practice-Oriented Implementation.Methods of information in medicine · 2022Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe identity management is a central component in medical research. Patients are recruited from various sites, which requires an error tolerant record linkage method, to ensure that patients are registered only once. In large research projects or institutions, the identity management has to deal with several thousands or millions of patients. In environments with large numbers of patients the register process could lead to high runtimes caused by record linkage. The Central Biomaterial Bank of the Charité (ZeBanC) searched for an identity management solution, which can handle millions of patients in large research projects with an acceptable performance. The goal of this paper was to simulate the registration of several million patients using the E-PIX service at Charité - Universitätsmedizin Berlin. The E-PIX service was evaluated in terms of needed runtimes, memory requirements, and processor utilization. A total of at least 20 million patients had to be registered. The runtimes to register patients into databases with various sizes should be examined, and the maximum number of patients, which the E-PIX service could handle, should be determined.
methodsTools were set up or developed to measure the needed runtimes, the memory used and the processor usage to register patients into various sizes of databases. To generate runtimes close to reality, modified patient data based on transposed real patient data were used for the simulation. The transposed patient data were sent to E-PIX to measure the runtimes of the registration process. This measurement was repeated for various database sizes.
resultsE-PIX is suitable to manage multi-million patients within a dataset. With the given hardware, it was possible to register a total of more than 30 million patients. It was possible to register more than 16 thousand patients per day into this database.
conclusionsThe E-PIX tool fulfills the requirements of the Charité to be used for large research projects. The use of E-PIX is intended for the research context in the Charité.
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