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CORDIS - EU research results
CORDIS

ASSESS-DHT: DEVELOPMENT AND HARMONISATION OF METHODOLOGIES FOR ASSESSING DIGITAL HEALTH TECHNOLOGIES IN EUROPE

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

​​​Taxonomy of DHT for assessment purposes (opens in new window)

Formal categorisation of DHT to characterise their assessment requirements and life cycles

Communication and Disseminiation Plan (opens in new window)

Stakeholder-targeted strategy, messages, channels, timing

​​Interim report on communication and dissemination (opens in new window)

Midpoint account of what has been disseminated, how, to whom

Manual for piloting assessment methods for digital health technologies (interim/piloting version of the full manual D4.6) (opens in new window)

Consolidated framework with complete criteria and DHT-type-specialist pathways + workflows, draft version for use by case studies

Landscape and gap analysis of assessment frameworks and methods for Digital Health Technologies (opens in new window)

Consolidation and critique of methods and frameworks used by HTA across Europe, at present, on which we will build and improve

Engagement and exploitation strategy (opens in new window)

Plan for targeted stakeholder engagement & for each consultation channel: expert groups, roundtables

Requirements specification for the Repository of evidence (opens in new window)

Requirements and technical specification of the repository, plus inventory of initial content

Publications

Examining human-AI interaction in real-world healthcare beyond the laboratory (opens in new window)

Author(s): Magdalena Katharina Wekenborg, Stephen Gilbert, Jakob Nikolas Kather
Published in: npj Digital Medicine, Issue 8, 2025, ISSN 2398-6352
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41746-025-01559-5

Letter to the Editor on “From Concept to Clinic: Living Labs and Regulatory Sandboxes for Health System Digitalization and the Integration of Innovative Devices Into Clinical Workflows” (opens in new window)

Author(s): Rebecca Mathias, Anett Schönfelder, Cindy Welzel, Stephen Gilbert
Published in: IEEE Journal of Translational Engineering in Health and Medicine, Issue 13, 2025, ISSN 2168-2372
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JTEHM.2025.3557508

A roadmap for safe, regulation-compliant Living Labs for AI and digital health development (opens in new window)

Author(s): Stephen Gilbert, Rebecca Mathias, Anett Schönfelder, Magdalena Wekenborg, Julia Steinigen-Fuchs, Anja Dillenseger, Tjalf Ziemssen
Published in: Science Advances, Issue 11, 2025, ISSN 2375-2548
Publisher: American Association for the Advancement of Science (AAAS)
DOI: 10.1126/SCIADV.ADV7719

Could transparent model cards with layered accessible information drive trust and safety in health AI? (opens in new window)

Author(s): Stephen Gilbert, Rasmus Adler, Taras Holoyad, Eva Weicken
Published in: npj Digital Medicine, Issue 8, 2025, ISSN 2398-6352
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41746-025-01482-9

Cybersecurity requirements for medical devices in the EU and US - A comparison and gap analysis of the MDCG 2019–16 and FDA premarket cybersecurity guidance (opens in new window)

Author(s): Max Ostermann, Rebecca Mathias, Fatemeh Jahed, Mitchell B. Parker, Florence D. Hudson, William C. Harding, Stephen Gilbert, Oscar Freyer
Published in: Computational and Structural Biotechnology Journal, Issue 28, 2025, ISSN 2001-0370
Publisher: Elsevier BV
DOI: 10.1016/J.CSBJ.2025.07.024

Safe AI-enabled digital health technologies need built-in open feedback (opens in new window)

Author(s): Rebecca Mathias; Baptiste Vasey; Anastasia Chalkidou; Lars Riedemann; Tom Melvin; Stephen Gilbert
Published in: Nature Medicine, 2025, ISSN 1546-170X
Publisher: Nature Medicine
DOI: 10.1038/S41591-024-03397-6

A transparent and standardized performance measurement platform is needed for on-prescription digital health apps to enable ongoing performance monitoring (opens in new window)

Author(s): Cindy Welzel; Stefanie Brückner; Celia Brightwell; Matthew Fenech; Stephen Gilbert
Published in: PLOS Digital Health, 2024, ISSN 2767-3170
Publisher: PLOS Digital Health
DOI: 10.1371/JOURNAL.PDIG.0000656

Digital health technologies need regulation and reimbursement that enable flexible interactions and groupings (opens in new window)

Author(s): Rebecca Mathias, Peter McCulloch, Anastasia Chalkidou, Stephen Gilbert
Published in: npj Digital Medicine, Issue 7, 2024, ISSN 2398-6352
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41746-024-01147-Z

How can regulation and reimbursement better accommodate flexible suites of digital health technologies? (opens in new window)

Author(s): Rebecca Mathias, Peter McCulloch, Anastasia Chalkidou, Stephen Gilbert
Published in: npj Digital Medicine, Issue 7, 2024, ISSN 2398-6352
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41746-024-01156-Y

CORE-MD clinical risk score for regulatory evaluation of artificial intelligence-based medical device software (opens in new window)

Author(s): Rademakers, FE; Biasin, E; Bruining, N; Caiani, EG; Davies, RH; Gilbert, SH; Kamenjasevic, E; McGauran, G; O’Connor, G; Rouffet, J; Vasey, B; Fraser, AG
Published in: npj Digital Medicine, 2025, ISSN 2398-6352
Publisher: npj Digital Medicine
DOI: 10.1038/S41746-025-01459-8

Consternation as Congress proposal for autonomous prescribing AI coincides with the haphazard cuts at the FDA (opens in new window)

Author(s): Stephen Gilbert, Tinglong Dai, Rebecca Mathias
Published in: npj Digital Medicine, Issue 8, 2025, ISSN 2398-6352
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41746-025-01540-2

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