A scoping review of the governance of federated learning in healthcare
Abstract In healthcare, federated learning (FL) is emerging as a methodology to enable the analysis of large and disparate datasets while allowing custodians to retain sovereignty. While FL minimises data-sharing challenges, concerns surrounding ethics, privacy, maleficent use, and harm remain. Thes...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01836-3 |
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| author | Rebekah Eden Ignatius Chukwudi Chris Bain Sebastiano Barbieri Leonie Callaway Susan de Jersey Yasmeen George Alain-Dominique Gorse Michael Lawley Peter Marendy Steven M. McPhail Anthony Nguyen Mahnaz Samadbeik Clair Sullivan |
| author_facet | Rebekah Eden Ignatius Chukwudi Chris Bain Sebastiano Barbieri Leonie Callaway Susan de Jersey Yasmeen George Alain-Dominique Gorse Michael Lawley Peter Marendy Steven M. McPhail Anthony Nguyen Mahnaz Samadbeik Clair Sullivan |
| author_sort | Rebekah Eden |
| collection | DOAJ |
| description | Abstract In healthcare, federated learning (FL) is emerging as a methodology to enable the analysis of large and disparate datasets while allowing custodians to retain sovereignty. While FL minimises data-sharing challenges, concerns surrounding ethics, privacy, maleficent use, and harm remain. These concerns can be managed by effective data governance. Data governance specifies procedural, relational, and structural mechanisms governing how data is captured, shared, and analysed, the resultant models and their use. However, limited insights exist on the optimal governance of this emerging technology. This study aims to develop a consolidated framework of the data governance mechanisms for FL in healthcare. A scoping review was performed, using deductive and inductive analysis of 39 articles. The framework includes twelve procedural, ten relational, and twelve structural mechanisms. The framework directs researchers to examine how to enact each mechanism and provides practitioners with insights into the mechanism to consider when governing FL. |
| format | Article |
| id | doaj-art-c9cc1162b5fc42a4bd1e75bbea3e8af6 |
| institution | Kabale University |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-c9cc1162b5fc42a4bd1e75bbea3e8af62025-08-20T04:02:46ZengNature Portfolionpj Digital Medicine2398-63522025-07-018111010.1038/s41746-025-01836-3A scoping review of the governance of federated learning in healthcareRebekah Eden0Ignatius Chukwudi1Chris Bain2Sebastiano Barbieri3Leonie Callaway4Susan de Jersey5Yasmeen George6Alain-Dominique Gorse7Michael Lawley8Peter Marendy9Steven M. McPhail10Anthony Nguyen11Mahnaz Samadbeik12Clair Sullivan13Queensland Digital Health Centre, Faculty of Health, Medicine and Behavioural Sciences, The University of QueenslandQueensland Digital Health Centre, Faculty of Health, Medicine and Behavioural Sciences, The University of QueenslandFaculty of IT, Monash University, Clayton Campus, Wellington RdQueensland Digital Health Centre, Faculty of Health, Medicine and Behavioural Sciences, The University of QueenslandCentre for Health Services Research, Faculty of Health, Medicine and Behavioural Sciences, The University of QueenslandCentre for Health Services Research, Faculty of Health, Medicine and Behavioural Sciences, The University of QueenslandFaculty of IT, Monash University, Clayton Campus, Wellington RdQueensland Digital Health Centre, Faculty of Health, Medicine and Behavioural Sciences, The University of QueenslandThe Australian e-Health Research Centre, CSIRO, 296 Herston RoadQueensland Cyber Infrastructure Foundation, 47 Staff House RdAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Victoria Park RoadThe Australian e-Health Research Centre, CSIRO, 296 Herston RoadQueensland Digital Health Centre, Faculty of Health, Medicine and Behavioural Sciences, The University of QueenslandQueensland Digital Health Centre, Faculty of Health, Medicine and Behavioural Sciences, The University of QueenslandAbstract In healthcare, federated learning (FL) is emerging as a methodology to enable the analysis of large and disparate datasets while allowing custodians to retain sovereignty. While FL minimises data-sharing challenges, concerns surrounding ethics, privacy, maleficent use, and harm remain. These concerns can be managed by effective data governance. Data governance specifies procedural, relational, and structural mechanisms governing how data is captured, shared, and analysed, the resultant models and their use. However, limited insights exist on the optimal governance of this emerging technology. This study aims to develop a consolidated framework of the data governance mechanisms for FL in healthcare. A scoping review was performed, using deductive and inductive analysis of 39 articles. The framework includes twelve procedural, ten relational, and twelve structural mechanisms. The framework directs researchers to examine how to enact each mechanism and provides practitioners with insights into the mechanism to consider when governing FL.https://doi.org/10.1038/s41746-025-01836-3 |
| spellingShingle | Rebekah Eden Ignatius Chukwudi Chris Bain Sebastiano Barbieri Leonie Callaway Susan de Jersey Yasmeen George Alain-Dominique Gorse Michael Lawley Peter Marendy Steven M. McPhail Anthony Nguyen Mahnaz Samadbeik Clair Sullivan A scoping review of the governance of federated learning in healthcare npj Digital Medicine |
| title | A scoping review of the governance of federated learning in healthcare |
| title_full | A scoping review of the governance of federated learning in healthcare |
| title_fullStr | A scoping review of the governance of federated learning in healthcare |
| title_full_unstemmed | A scoping review of the governance of federated learning in healthcare |
| title_short | A scoping review of the governance of federated learning in healthcare |
| title_sort | scoping review of the governance of federated learning in healthcare |
| url | https://doi.org/10.1038/s41746-025-01836-3 |
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