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Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation

BACKGROUND: Health data collected during routine care have important potential for reuse for other purposes, especially as part of a learning health system to advance the quality of care. Many sources of bias have been identified through the lifecycle of health data that could compromise the scienti...

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Autores principales: Delvaux, Nicolas, Aertgeerts, Bert, van Bussel, Johan CH, Goderis, Geert, Vaes, Bert, Vermandere, Mieke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6300317/
https://www.ncbi.nlm.nih.gov/pubmed/30455164
http://dx.doi.org/10.2196/11428
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author Delvaux, Nicolas
Aertgeerts, Bert
van Bussel, Johan CH
Goderis, Geert
Vaes, Bert
Vermandere, Mieke
author_facet Delvaux, Nicolas
Aertgeerts, Bert
van Bussel, Johan CH
Goderis, Geert
Vaes, Bert
Vermandere, Mieke
author_sort Delvaux, Nicolas
collection PubMed
description BACKGROUND: Health data collected during routine care have important potential for reuse for other purposes, especially as part of a learning health system to advance the quality of care. Many sources of bias have been identified through the lifecycle of health data that could compromise the scientific integrity of these data. New data protection legislation requires research facilities to improve safety measures and, thus, ensure privacy. OBJECTIVE: This study aims to address the question on how health data can be transferred from various sources and using multiple systems to a centralized platform, called Healthdata.be, while ensuring the accuracy, validity, safety, and privacy. In addition, the study demonstrates how these processes can be used in various research designs relevant for learning health systems. METHODS: The Healthdata.be platform urges uniformity of the data registration at the primary source through the use of detailed clinical models. Data retrieval and transfer are organized through end-to-end encrypted electronic health channels, and data are encoded using token keys. In addition, patient identifiers are pseudonymized so that health data from the same patient collected across various sources can still be linked without compromising the deidentification. RESULTS: The Healthdata.be platform currently collects data for >150 clinical registries in Belgium. We demonstrated how the data collection for the Belgian primary care morbidity register INTEGO is organized and how the Healthdata.be platform can be used for a cluster randomized trial. CONCLUSIONS: Collecting health data in various sources and linking these data to a single patient is a promising feature that can potentially address important concerns on the validity and quality of health data. Safe methods of data transfer without compromising privacy are capable of transporting these data from the primary data provider or clinician to a research facility. More research is required to demonstrate that these methods improve the quality of data collection, allowing researchers to rely on electronic health records as a valid source for scientific data.
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spelling pubmed-63003172019-01-16 Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation Delvaux, Nicolas Aertgeerts, Bert van Bussel, Johan CH Goderis, Geert Vaes, Bert Vermandere, Mieke JMIR Med Inform Original Paper BACKGROUND: Health data collected during routine care have important potential for reuse for other purposes, especially as part of a learning health system to advance the quality of care. Many sources of bias have been identified through the lifecycle of health data that could compromise the scientific integrity of these data. New data protection legislation requires research facilities to improve safety measures and, thus, ensure privacy. OBJECTIVE: This study aims to address the question on how health data can be transferred from various sources and using multiple systems to a centralized platform, called Healthdata.be, while ensuring the accuracy, validity, safety, and privacy. In addition, the study demonstrates how these processes can be used in various research designs relevant for learning health systems. METHODS: The Healthdata.be platform urges uniformity of the data registration at the primary source through the use of detailed clinical models. Data retrieval and transfer are organized through end-to-end encrypted electronic health channels, and data are encoded using token keys. In addition, patient identifiers are pseudonymized so that health data from the same patient collected across various sources can still be linked without compromising the deidentification. RESULTS: The Healthdata.be platform currently collects data for >150 clinical registries in Belgium. We demonstrated how the data collection for the Belgian primary care morbidity register INTEGO is organized and how the Healthdata.be platform can be used for a cluster randomized trial. CONCLUSIONS: Collecting health data in various sources and linking these data to a single patient is a promising feature that can potentially address important concerns on the validity and quality of health data. Safe methods of data transfer without compromising privacy are capable of transporting these data from the primary data provider or clinician to a research facility. More research is required to demonstrate that these methods improve the quality of data collection, allowing researchers to rely on electronic health records as a valid source for scientific data. JMIR Publications 2018-11-19 /pmc/articles/PMC6300317/ /pubmed/30455164 http://dx.doi.org/10.2196/11428 Text en ©Nicolas Delvaux, Bert Aertgeerts, Johan CH van Bussel, Geert Goderis, Bert Vaes, Mieke Vermandere. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 19.11.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Delvaux, Nicolas
Aertgeerts, Bert
van Bussel, Johan CH
Goderis, Geert
Vaes, Bert
Vermandere, Mieke
Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation
title Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation
title_full Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation
title_fullStr Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation
title_full_unstemmed Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation
title_short Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation
title_sort health data for research through a nationwide privacy-proof system in belgium: design and implementation
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6300317/
https://www.ncbi.nlm.nih.gov/pubmed/30455164
http://dx.doi.org/10.2196/11428
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