Using A Privacy Preserving Record Linkage to Facilitate an Ongoing Crosswalk Between Research and Health Administrative Databases

Introduction The Ontario Brain Institute has developed Brain-CODE, an informatics platform designed to support the collection, storage, federation, sharing and analysis of different neuroscience research data types across several brain disorders. Linking such “deep” research data with “broad” health...

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Main Authors: Brendan Behan, Tom Gee, Susan Gilbert Evans, Moyez Dharsee, Ken Evans, Mahmoud Azimaee, Kelley Ross, Rosario Cartagena, Charles Victor, Lindsay Green-Noble, Tom Mikkelsen, Kirk Nylen
Format: Article
Language:English
Published: Swansea University 2020-12-01
Series:International Journal of Population Data Science
Online Access:https://ijpds.org/article/view/1630
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author Brendan Behan
Tom Gee
Susan Gilbert Evans
Moyez Dharsee
Ken Evans
Mahmoud Azimaee
Kelley Ross
Rosario Cartagena
Charles Victor
Lindsay Green-Noble
Tom Mikkelsen
Kirk Nylen
author_facet Brendan Behan
Tom Gee
Susan Gilbert Evans
Moyez Dharsee
Ken Evans
Mahmoud Azimaee
Kelley Ross
Rosario Cartagena
Charles Victor
Lindsay Green-Noble
Tom Mikkelsen
Kirk Nylen
author_sort Brendan Behan
collection DOAJ
description Introduction The Ontario Brain Institute has developed Brain-CODE, an informatics platform designed to support the collection, storage, federation, sharing and analysis of different neuroscience research data types across several brain disorders. Linking such “deep” research data with “broad” health administrative data allows for improved characterization of disorders and supports the development of related health and social policies (Anderson et al., 2015). A privacy preserving record linkage protocol, developed through the Indoc Consortium, has been used to facilitate such linkages between Brain-CODE and administrative data holdings at the Institute for Clinical Evaluative Sciences (ICES; e.g., emergency department use, inpatient records, prescription drug utilization) (Gee et al., 2018). Objectives and Approach Three linkage pilots in the areas of neurodevelopmental disorders, epilepsy, and stroke research have been completed with >99% success match rates across all projects. However, each of these projects required a significant amount of human and computational resources to complete. With other similar data linkages being planned, it was determined that a more permanent solution was required rather than completing linkages on a project-by-project basis. The governance and technical elements to support the creation and maintenance of such a crosswalk between Brain-CODE and ICES were reviewed with an implementation plan subsequently developed. Results: A methodology for creating a crosswalk between Brain-CODE and ICES has been established. The same privacy preserving record linkage protocol, as used in the previous linkage pilots, will support the creation of this crosswalk. A plan has been established to update this crosswalk annually to account for new study participants on Brain-CODE. Conclusion / Implications The creation of this crosswalk will allow for a more streamlined approach of data linkage between Brain-CODE and ICES. Such an approach can significantly reduce overall resourcing requirements, enable more efficient data linkages, and contribute to the coupling of “broad” and “deep” data.
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spelling doaj.art-4a42424a426a47f8b6e2742c4148ff982023-12-03T02:22:44ZengSwansea UniversityInternational Journal of Population Data Science2399-49082020-12-015510.23889/ijpds.v5i5.1630Using A Privacy Preserving Record Linkage to Facilitate an Ongoing Crosswalk Between Research and Health Administrative DatabasesBrendan Behan0Tom Gee1Susan Gilbert Evans2Moyez Dharsee3Ken Evans4Mahmoud Azimaee5Kelley Ross6Rosario Cartagena7Charles Victor8Lindsay Green-Noble9Tom Mikkelsen10Kirk Nylen11Ontario Brain InstituteIndoc ResearchIndoc ResearchIndoc ResearchIndoc ResearchICESICESICESICESOntario Brain InstituteOntario Brain InstituteOntario Brain InstituteIntroduction The Ontario Brain Institute has developed Brain-CODE, an informatics platform designed to support the collection, storage, federation, sharing and analysis of different neuroscience research data types across several brain disorders. Linking such “deep” research data with “broad” health administrative data allows for improved characterization of disorders and supports the development of related health and social policies (Anderson et al., 2015). A privacy preserving record linkage protocol, developed through the Indoc Consortium, has been used to facilitate such linkages between Brain-CODE and administrative data holdings at the Institute for Clinical Evaluative Sciences (ICES; e.g., emergency department use, inpatient records, prescription drug utilization) (Gee et al., 2018). Objectives and Approach Three linkage pilots in the areas of neurodevelopmental disorders, epilepsy, and stroke research have been completed with >99% success match rates across all projects. However, each of these projects required a significant amount of human and computational resources to complete. With other similar data linkages being planned, it was determined that a more permanent solution was required rather than completing linkages on a project-by-project basis. The governance and technical elements to support the creation and maintenance of such a crosswalk between Brain-CODE and ICES were reviewed with an implementation plan subsequently developed. Results: A methodology for creating a crosswalk between Brain-CODE and ICES has been established. The same privacy preserving record linkage protocol, as used in the previous linkage pilots, will support the creation of this crosswalk. A plan has been established to update this crosswalk annually to account for new study participants on Brain-CODE. Conclusion / Implications The creation of this crosswalk will allow for a more streamlined approach of data linkage between Brain-CODE and ICES. Such an approach can significantly reduce overall resourcing requirements, enable more efficient data linkages, and contribute to the coupling of “broad” and “deep” data.https://ijpds.org/article/view/1630
spellingShingle Brendan Behan
Tom Gee
Susan Gilbert Evans
Moyez Dharsee
Ken Evans
Mahmoud Azimaee
Kelley Ross
Rosario Cartagena
Charles Victor
Lindsay Green-Noble
Tom Mikkelsen
Kirk Nylen
Using A Privacy Preserving Record Linkage to Facilitate an Ongoing Crosswalk Between Research and Health Administrative Databases
International Journal of Population Data Science
title Using A Privacy Preserving Record Linkage to Facilitate an Ongoing Crosswalk Between Research and Health Administrative Databases
title_full Using A Privacy Preserving Record Linkage to Facilitate an Ongoing Crosswalk Between Research and Health Administrative Databases
title_fullStr Using A Privacy Preserving Record Linkage to Facilitate an Ongoing Crosswalk Between Research and Health Administrative Databases
title_full_unstemmed Using A Privacy Preserving Record Linkage to Facilitate an Ongoing Crosswalk Between Research and Health Administrative Databases
title_short Using A Privacy Preserving Record Linkage to Facilitate an Ongoing Crosswalk Between Research and Health Administrative Databases
title_sort using a privacy preserving record linkage to facilitate an ongoing crosswalk between research and health administrative databases
url https://ijpds.org/article/view/1630
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