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SHAIPED questionnaire to Notified Body

SHAIPED Stakeholder Survey

About this questionnaire

This questionnaire is part of the SHAIPED project, a European initiative exploring how EHDS-enabled health data access can support the development, assessment, and deployment of Medical Device Artificial Intelligence (MDAI) in Europe.

Within SHAIPED, this work focuses specifically on the role of Real-World Data (RWD) in MDAI post-testing stages — market certification, post-market surveillance, clinical follow-up, HTA and reimbursement processes.

We are exploring how accessing high-quality RWD through services of the future Health Data Access Bodies (HDABs) may help address the challenges faced by MDAI stakeholders.

We welcome contributions both from experts with direct experience evaluating MDAI and from experts who may not yet have assessed these technologies but can provide valuable insights into how such processes should be shaped in the future.

The questionnaire contains 7 sections. Completing the questionnaire should take approximately 20 minutes.

The results will be made available in project deliverables published on the SHAIPED webpage, and we will also send the respective documents to the email address used to contact you.

You can find additional details on SHAIPED and our survey from the Participant Information Sheet.

For any questions, please contact: info@shaiped.eu

Thank you very much for your time and for sharing your expertise.

Section 0 — Organisation Profile
Your role and affiliation, if you would like to share it.
Please update your organization name, if necessary.
If your organization operates at country level, please select one. Otherwise, leave empty.
Select the level at which your organization primarily acts.
Section 1 — Current use of RWD in conformity assessment

Please describe the practice or guidance and the context in which you encountered it (e.g. jurisdiction, assessment type, evidence standard), including any influential international guidance documents.

Clinical evaluation
Performance evaluation
External validation
Generalisability assessment
PMCF
PMS
Bias assessment
Safety monitoring
Section 2 — Barriers to acceptance of RWD/RWE
Evidence gap Rank
Insufficient clinical evidence
Insufficient external validation
Inadequate representativeness of study populations
Insufficient statistical power / sample size
Poor data quality / completeness
Lack of standardisation / interoperability / linkage
Insufficient transparency or explainability
Inadequate cybersecurity evidence
Insufficient PMS / PMCF planning
Inadequate change-management strategy
Insufficient bias assessment
Insufficient human-oversight documentation
Section 3 — Adaptive AI & lifecycle evidence needs
Technical validation
Clinical validation
External validation
RWD-based monitoring
Bias assessment
Human factors testing
Cybersecurity review
Section 4 — Potential contribution of EHDS/HDABs
Section 5 — Regulatory framework
Administrative burden
Legal clarity
Consistency of conformity assessment
Efficiency of assessment
Innovation and market access
Section 6 — Closing

Please describe any differences you have observed — for example in evidence requirements, acceptance of RWD/RWE, assessment of adaptive AI, regulatory guidance, or post-market evidence expectations.

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Processing of personal data within SHAIPED is governed by a Joint Controller Agreement (Art. 26 GDPR).

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