Health Data Pools Under European Data Protection Law

Schneider, Giulia

doi:10.1007/978-3-030-95427-7_5

Cited by 2 publications

(3 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given the sensitive nature of the information involved in healthcare, there are some challenges related to its sharing, including data protection and privacy issues. Within this context, articles [10][11][12], highlight the challenges encountered in complying with data regulations in the healthcare industry, particularly the General Data Protection Regulation (GDPR). While the GDPR is crucial to ensure privacy and personal data protection, articles [10,13] identify a disparity between its targets and its actual impacts, emphasizing the need for a trust-based framework in health data to mitigate the encountered bias.…”

Section: Goals and Outcomes Analysismentioning

confidence: 99%

“…Within this context, articles [10][11][12], highlight the challenges encountered in complying with data regulations in the healthcare industry, particularly the General Data Protection Regulation (GDPR). While the GDPR is crucial to ensure privacy and personal data protection, articles [10,13] identify a disparity between its targets and its actual impacts, emphasizing the need for a trust-based framework in health data to mitigate the encountered bias. Additionally, while the authors in article [12] address the difficulties experienced by stakeholders in managing health data during the COVID-19 pandemic due to the GDPR requirements, article [14] discusses the positive impact of recent modifications in data sharing regulations in selected states of the USA on the quality of healthcare service.…”

Section: Goals and Outcomes Analysismentioning

confidence: 99%

See 1 more Smart Citation

Health Data Sharing towards Knowledge Creation

Elvas,

Ferreira,

Dias

et al. 2023

Systems

View full text Add to dashboard Cite

Data sharing and service reuse in the health sector pose significant privacy and security challenges. The European Commission recognizes health data as a unique and cost-effective resource for research, while the OECD emphasizes the need for privacy-protecting data governance systems. In this paper, we propose a novel approach to health data access in a hospital environment, leveraging homomorphic encryption to ensure privacy and secure sharing of medical data among healthcare entities. Our framework establishes a secure environment that enforces GDPR adoption. We present an Information Sharing Infrastructure (ISI) framework that seamlessly integrates artificial intelligence (AI) capabilities for data analysis. Through our implementation, we demonstrate the ease of applying AI algorithms to treated health data within the ISI environment. Evaluating machine learning models, we achieve high accuracies of 96.88% with logistic regression and 97.62% with random forest. To address privacy concerns, our framework incorporates Data Sharing Agreements (DSAs). Data producers and consumers (prosumers) have the flexibility to express their prefearences for sharing and analytics operations. Data-centric policy enforcement mechanisms ensure compliance and privacy preservation. In summary, our comprehensive framework combines homomorphic encryption, secure data sharing, and AI-driven analytics. By fostering collaboration and knowledge creation in a secure environment, our approach contributes to the advancement of medical research and improves healthcare outcomes. A real case application was implemented between Portuguese hospitals and universities for this data sharing.

show abstract

Section: Goals and Outcomes Analysismentioning

confidence: 99%

Section: Goals and Outcomes Analysismentioning

confidence: 99%

Health Data Sharing towards Knowledge Creation

Elvas,

Ferreira,

Dias

et al. 2023

Systems

View full text Add to dashboard Cite

show abstract

“…Another way to approach solidarity is to use shared data pools. Data pools are an emergent reality in Europe whereby tech companies and public institutions come together to innovate and advance digital health but also to balance the public good with commercial interests-though policies and regulations (data protection, single market, and competition law), or amendments to them, are still likely to be needed to facilitate solidarity (Schneider 2022).…”

Section: Data Solidaritymentioning

confidence: 99%

Surveillance Capitalism in Mental Health: When Good Apps Go Rogue (and What Can Be Done about It)

Gross,

Mothersill

2023

Social Sciences

View full text Add to dashboard Cite

Research shows that a large proportion of the world’s population has experience with mental health difficulties, and reliable as well as scalable care is urgently needed. Digital mental health seems to be an obvious solution to provide the better delivery of care but also the delivery of better care. With an imagined future of real-time information sharing, improved diagnosis and monitoring of mental health conditions, and remote care, supported by advances in artificial intelligence, many tech companies have emerged over the last three decades to plug the treatment gap and provide services. The evidence base seems compelling: some online treatments have the capability to treat individuals quite successfully. However, the introduction, utilisation, and expansion of digital mental health technologies have not always focused on public health only. Using a surveillance capitalism perspective, this paper approaches the democratisation–privatisation dichotomy in digital mental health with a critical lens. In particular, the paper details how (commercially valuable) mental health data are extracted, “shared”, and claimed as an asset by big tech companies. Reviewing the terms, conditions, and practices of ten popular mental health apps, the paper polemically argues that mental digital health cannot unlock real value for society—better treatment, good quality care, and efficient delivery—if power, politics, and profits remain in the hands of big tech companies. To conclude, the paper draws attention to contemporary discourses that seek to promote democracy and public value for digital mental health apps, technologies, and solutions.

show abstract

Health Data Pools Under European Data Protection Law

Cited by 2 publications

References 52 publications

Health Data Sharing towards Knowledge Creation

Health Data Sharing towards Knowledge Creation

Surveillance Capitalism in Mental Health: When Good Apps Go Rogue (and What Can Be Done about It)

Contact Info

Product

Resources

About