Unlocking the Potential of Binding Corporate Rules (BCRs) in Health Data Transfers

annif.suggestionsdata protection|data security|public health service|data|EU law|data transfer|legislation|authentication|enen
annif.suggestionsdata protection|data security|data|public health service|data transfer|EU law|legislation|machine learning|personal data|enen
annif.suggestions.linkshttp://www.yso.fi/onto/yso/p3636|http://www.yso.fi/onto/yso/p5479|http://www.yso.fi/onto/yso/p2658|http://www.yso.fi/onto/yso/p27250|http://www.yso.fi/onto/yso/p20733|http://www.yso.fi/onto/yso/p5429|http://www.yso.fi/onto/yso/p13854|http://www.yso.fi/onto/yso/p24130en
annif.suggestions.linkshttp://www.yso.fi/onto/yso/p3636|http://www.yso.fi/onto/yso/p5479|http://www.yso.fi/onto/yso/p27250|http://www.yso.fi/onto/yso/p2658|http://www.yso.fi/onto/yso/p5429|http://www.yso.fi/onto/yso/p20733|http://www.yso.fi/onto/yso/p13854|http://www.yso.fi/onto/yso/p21846|http://www.yso.fi/onto/yso/p15126en
dc.contributor.authorCorrales Compagnucci, Marcelo
dc.contributor.authorFenwick, Mark
dc.contributor.authorHaapio, Helena
dc.contributor.editorCorrales Compagnucci, Marcelo
dc.contributor.editorFenwick, Mark
dc.contributor.facultyfi=Laskentatoimen ja rahoituksen yksikkö|en=School of Accounting and Finance|-
dc.contributor.organizationfi=Vaasan yliopisto|en=University of Vaasa|
dc.date.accessioned2025-04-25T10:26:13Z
dc.date.accessioned2025-06-25T14:03:02Z
dc.date.issued2025-02-04
dc.description.abstractThis chapter explores the essential role of Binding Corporate Rules (BCRs) in managing and facilitating secure health data transfers within corporate groups under the EU General Data Protection Regulation (GDPR). BCRs are tailored to ensure compliance with the GDPR and similar international data protection laws, presenting a flexible mechanism for transferring sensitive health and genomic data. The chapter situates BCRs within the broader spectrum of GDPR’s international data transfer mechanisms, addressing the unique challenges posed by the sensitive nature of health data and the increased adoption of AI technologies. The European Data Protection Board (EDPB) Recommendations 1/2022 on BCRs, issued following the Schrems II decision, are critically analyzed, highlighting their stringent requirements and the need for a balanced approach that prioritizes data protection and an AI governance framework. The chapter outlines the BCR approval process, stressing the importance of streamlining this process to encourage broader adoption. It underscores the necessity of a multidisciplinary approach in developing BCRs, incorporating recently adopted international standards and frameworks, which offer valuable guidance for organizations to build trustworthy AI management systems. They guarantee the ethical development, deployment, and operation of AI, which is essential for its successful integration and the broader digital transformation. In conclusion, BCRs are positioned as essential tools for secure health data management, fostering transparency, accountability, and collaboration across international borders. The chapter calls for proactive measures to incentivize BCR adoption, streamline approval processes, and promote more innovative approaches, ensuring BCRs remain a robust mechanism for global data protection and compliance.-
dc.description.notification© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.-
dc.description.reviewstatusfi=vertaisarvioitu|en=peerReviewed|-
dc.embargo.lift2026-02-04
dc.embargo.terms2026-02-04
dc.format.bitstreamtrue
dc.format.contentfi=kokoteksti|en=fulltext|-
dc.format.extent14-
dc.identifier.isbn978-981-97-9983-1-
dc.identifier.olddbid23083
dc.identifier.oldhandle10024/19082
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/3238
dc.identifier.urnURN:NBN:fi-fe2025042530748-
dc.language.isoeng-
dc.publisherSpringer-
dc.relation.doi10.1007/978-981-97-9983-1_3-
dc.relation.funderInter-CeBIL-
dc.relation.grantnumberNNF23SA0087056-
dc.relation.isbn978-981-97-9982-4-
dc.relation.ispartofInternational Transfers of Health Data : A Global Perspective-
dc.relation.urlhttps://doi.org/10.1007/978-981-97-9983-1_3-
dc.source.identifier2-s2.0-85218805643-
dc.source.identifierhttps://osuva.uwasa.fi/handle/10024/19082
dc.subjectArtificial Intelligence (AI); Binding Corporate Rules (BCRs); Frameworks; GDPR; Health data; International data transfers; ISO standards-
dc.subject.disciplinefi=Talousoikeus|en=Business Law|-
dc.subject.ysodata security-
dc.subject.ysodata transfer-
dc.titleUnlocking the Potential of Binding Corporate Rules (BCRs) in Health Data Transfers-
dc.type.okmfi=A3 Kirjan tai muun kokoomateoksen osa|en=A3 Peer-reviewed book section|sv=A3 Del av bok eller annat samlingsverk|-
dc.type.publicationbookPart-
dc.type.versionacceptedVersion-

Tiedostot

Näytetään 1 - 1 / 1
Ladataan...
Name:
Osuva_Corrales Compagnucci_Fenwick_Haapio_2025.pdf
Size:
1.06 MB
Format:
Adobe Portable Document Format

Kokoelmat