Provenance of specimen and data – A prerequisite for AI development in computational pathology

Plass, Markus; Wittner, Rudolf; Holub, Petr; Frexia, Francesca; Mascia, Cecilia; Gallo, Matej; Müller, Heimo; Geiger, Jörg

doi:10.1016/j.nbt.2023.09.006

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…To maximise automation, we needed a preliminary step called ‘ data source onboarding’ , in which metadata on each data source is defined and stored in a dedicated catalogue. This catalogue of data sources includes FAIR metadata enriched with (i) information on the structure and content of the data, such as data type, value restriction and value set, (ii) provenance information related to creation, modification and validation of the source information ( 25 , 26 ), and (iii) semantic mapping with concepts defined in the reference ontology. Metadata on data sources is collected once, in each data holder organisation; it is used each time the system ingests and curates the data of a specific patient.…”

Section: Results (Interim)mentioning

confidence: 99%

Artificial intelligence based data curation: enabling a patient-centric European health data space

de Zegher,

Norak,

Steiger

et al. 2024

Front. Med.

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The emerging European Health Data Space (EHDS) Regulation opens new prospects for large-scale sharing and re-use of health data. Yet, the proposed regulation suffers from two important limitations: it is designed to benefit the whole population with limited consideration for individuals, and the generation of secondary datasets from heterogeneous, unlinked patient data will remain burdensome. AIDAVA, a Horizon Europe project that started in September 2022, proposes to address both shortcomings by providing patients with an AI-based virtual assistant that maximises automation in the integration and transformation of their health data into an interoperable, longitudinal health record. This personal record can then be used to inform patient-related decisions at the point of care, whether this is the usual point of care or a possible cross-border point of care. The personal record can also be used to generate population datasets for research and policymaking. The proposed solution will enable a much-needed paradigm shift in health data management, implementing a ‘curate once at patient level, use many times’ approach, primarily for the benefit of patients and their care providers, but also for more efficient generation of high-quality secondary datasets. After 15 months, the project shows promising preliminary results in achieving automation in the integration and transformation of heterogeneous data of each individual patient, once the content of the data sources managed by the data holders has been formally described. Additionally, the conceptualization phase of the project identified a set of recommendations for the development of a patient-centric EHDS, significantly facilitating the generation of data for secondary use.

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Section: Results (Interim)mentioning

confidence: 99%

Artificial intelligence based data curation: enabling a patient-centric European health data space

de Zegher,

Norak,

Steiger

et al. 2024

Front. Med.

Self Cite

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A Summary and Personal Perspective on Recent Advances in Privacy Risk Assessment in Digital Pathology Through Formal Methods

Brázdil

2024

Lecture Notes in Computer Science

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Blockchain for real estate provenance: an infrastructural step toward secure transactions in real estate E-Business

Abualhamayl,

Almalki,

Al-Doghman

et al. 2024

SOCA

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In the rapidly evolving digital era, the growing trend of conducting real estate e-business transactions through online platforms has led to escalated challenges in ensuring transactional security and trust. These challenges underscore the importance of balancing transparency with data privacy and enhancing accountability in this field. As an extension of our previously published work (Abualhamayl AJ, Almalki MA, Al-Doghman F, Alyoubi AA, Hussain FK (2023) Towards fractional NFTs for joint ownership and provenance in real estate. In: 2023 IEEE international conference on e-business engineering (ICEBE), p. 143–8. 10.1109/ICEBE59045.2023.00022.), this paper introduces the Global Real Estate Platform (GREP), a novel hybrid blockchain system that utilizes real estate provenance to establish a secure and trustworthy environment for real estate e-business, specifically focusing on two key challenges: ensuring data authenticity and effectively managing access rights. Integral to GREP's design is the involvement of government entities, which is essential for maintaining the required balance between transparency, privacy, and high levels of accountability. This proposed framework is explained conceptually and demonstrated practically, offering an innovative perspective on the integration of hybrid blockchain technology in the real estate system. Furthermore, our research encompasses a detailed implementation, using various tools, and an in-depth examination of three use cases. This combined analysis effectively demonstrates GREP's efficacy in addressing the targeted challenges in the field. While acknowledging the system's limitations, including challenges in user adoption and performance variability under different network conditions, our findings open new avenues for further exploration, such as landlords' payment histories and utility bills, and using blockchain as a secondary user identifier. These features collectively highlight the transformative potential of blockchain technology in real estate e-business.

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Provenance of specimen and data – A prerequisite for AI development in computational pathology

Cited by 4 publications

References 13 publications

Artificial intelligence based data curation: enabling a patient-centric European health data space

Artificial intelligence based data curation: enabling a patient-centric European health data space

A Summary and Personal Perspective on Recent Advances in Privacy Risk Assessment in Digital Pathology Through Formal Methods

Blockchain for real estate provenance: an infrastructural step toward secure transactions in real estate E-Business

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