RADIANT's mission is to make the regulation of digital health and AI (DHAI) products more business-friendly and user-centred while ensuring these healthcare innovations remain safe, effective, trusted, inclusive, and sustainable.

Knowledge Sharing

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Through an Implementation Science approach, RADIANT interconnects research findings and practice-based challenges by translating, promoting and sharing research evidence and insights into healthcare policy and practice.

We support inclusive representation of stakeholders across the Digital Health and AI ecosystem through;

✔️ patients, public and advocacy groups
✔️ healthcare professionals
✔️ innovators and developers
✔️ regulators and policymakers
✔️ service providers
✔️ academic and RTOs

RADIANT aims to promote participation and access to knowledge, increase collaboration, and develop bespoke knowledge-sharing and training interventions.

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Further understand perspectives and needs of stakeholders

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RADIANT's programme will help

Co-design solutions together with and across stakeholder groups

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Test and pilot
solution ideas

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Share insights with all stakeholder groups

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Research

Regulatory Engagement & Collaboration

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Piloting
Solutions

Trialling courses with regulators, community-lead project

Evaluation

Sharing back learnings from solutions for all stakeholders with regulators

RADIANT is committed to shaping the future of healthcare

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RADIANT is committed to shaping the future of healthcare ✺

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RADIANT addresses key features of regulatory behaviour and culture, identified as major determinants of whether innovators can effectively navigate adapting regulatory frameworks: fragmentation, pacing, skills, and incentives. 

RADIANT engagement with regulators at all stages:

Through Network Engagement

Seeking insights and understanding current experiences and problems

Developing
Solutions

Through co-design and
user testing

What We Deliver

  • to educate innovators on SaAIMD fundamentals, legislation and key standards, data protection and governance, evidence generation and evaluation, and specific issues relating to AI, such as AI safety, bias, fairness, equity, and risk assessment.

  • to survey and examine potential regulatory challenges arising from fast changing technology

  • in navigating regulations and standards, evaluation and evidence generation methods

RADIANT integrates practical, real-life challenges encountered by healthcare practitioners, patients, and innovators into our network programme of research.