A study on interoperability between two Personal Health Train infrastructures in leukodystrophy data analysis
Scientific Data, vol. 11, pp. 663
Abstract
The development of platforms for distributed analytics has been driven by a growing need to comply with various governance-related or legal constraints. Among these platforms, the so-called Personal Health Train (PHT) is one representative that has emerged over the recent years. However, in projects that require data from sites featuring different PHT infrastructures, institutions are facing challenges emerging from the combination of multiple PHT ecosystems, including data governance, regulatory compliance, or the modification of existing workflows. In these scenarios, the interoperability of the platforms is preferable. In this work, we introduce a conceptual framework for the technical interoperability of the PHT covering five essential requirements: Data integration, unified station identifiers, mutual metadata, aligned security protocols, and business logic. We evaluated our concept in a feasibility study that involves two distinct PHT infrastructures: PHT-meDIC and PADME. We analyzed data on leukodystrophy from patients in the University Hospitals of Tübingen and Leipzig, and patients with differential diagnoses at the University Hospital Aachen. The results of our study demonstrate the technical interoperability between these two PHT infrastructures, allowing researchers to perform analyses across the participating institutions. Our method is more space-efficient compared to the multi-homing strategy, and it shows only a minimal time overhead.
Authors 15
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Affiliation as printed
RWTH Aachen University, Chair of Computer Science 5, Aachen, 52074, Germany. welten@dbis.rwth-aachen.de
RWTH Aachen University, Chair of Computer Science 5, Aachen, 52074, Germany
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Marius de Arruda Botelho Herr corresponding
Universitätsklinikum Tübingen · University of Tübingen
Affiliation as printed
Methods in Medical Informatics, University Tübingen, Tübingen, 72076, Germany. marius.de-arruda-botelho-herr@uni-tuebingen.de
University Hospital Tübingen, Institute for Translational Bioinformatics, Tübingen, 72072, Germany. marius.de-arruda-botelho-herr@uni-tuebingen.de
University Hospital Tübingen, Institute for Translational Bioinformatics, Tübingen, 72072, Germany
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Hochschule Mittweida · University Hospital Leipzig · Leipzig University
Affiliation as printed
Leipzig University Medical Center, Dept. Medical Data Science, Leipzig, 04107, Germany
Leipzig University, Institute for Medical Informatics, Statistics and Epidemiology, Leipzig, 04107, Germany
Mittweida University of Applied Sciences, Faculty Applied Computer and Bio Sciences, Mittweida, 09644, Germany
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Universitätsklinikum Tübingen · University of Tübingen
Affiliation as printed
University Hospital Tübingen, Institute for Translational Bioinformatics, Tübingen, 72072, Germany
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Universitätsklinikum Tübingen · University of Tübingen
Affiliation as printed
University Hospital Tübingen, Institute for Translational Bioinformatics, Tübingen, 72072, Germany
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Affiliation as printed
RWTH Aachen University, Chair of Computer Science 5, Aachen, 52074, Germany
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Affiliation as printed
RWTH Aachen University, Chair of Computer Science 5, Aachen, 52074, Germany
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Hochschule Mittweida · University Hospital Leipzig · Leipzig University
Affiliation as printed
Leipzig University Medical Center, Dept. Medical Data Science, Leipzig, 04107, Germany
Leipzig University, Institute for Medical Informatics, Statistics and Epidemiology, Leipzig, 04107, Germany
Mittweida University of Applied Sciences, Faculty Applied Computer and Bio Sciences, Mittweida, 09644, Germany
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Liam Tirpitz Aachen
Affiliation as printed
RWTH Aachen University, Data Stream Management and Analysis, Aachen, 52074, Germany
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Sandra Geisler Aachen
Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, 53757, Germany
RWTH Aachen University, Data Stream Management and Analysis, Aachen, 52074, Germany
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Affiliation as printed
University of Twente - Enschede, Services and Cybersecurity Group, Faculty of Electrical Engineering, Mathematics and Computer Science, 7513 GB, Enschede, the Netherlands
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Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, 53757, Germany
RWTH Aachen University, Chair of Computer Science 5, Aachen, 52074, Germany
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Affiliation as printed
Methods in Medical Informatics, University Tübingen, Tübingen, 72076, Germany
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Universitätsklinikum Tübingen · University of Tübingen
Affiliation as printed
University Hospital Tübingen, Institute for Translational Bioinformatics, Tübingen, 72072, Germany
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Toralf Kirsten Aachen
Hochschule Mittweida · University Hospital Leipzig · Center for Scalable Data Analytics and Artificial Intelligence · RWTH Aachen University · Leipzig University
Affiliation as printed
Leipzig University Medical Center, Dept. Medical Data Science, Leipzig, 04107, Germany
Leipzig University, Center for Scalable Data Analytics and Artificial Intelligence, Leipzig, 04107, Germany
Mittweida University of Applied Sciences, Faculty Applied Computer and Bio Sciences, Mittweida, 09644, Germany
RWTH Aachen University, Data Stream Management and Analysis, Aachen, 52074, Germany
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