Partnership: AHP Educator Career Framework
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Domain 6: Research, Innovation & Quality Improvement
Educational innovation is vital to ensure that learners are equipped to work within the workforce of the future, and research and quality improvement processes are fundamental. Strengthening the…
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Domain 5: Digital and Sustainability
Digital technology is essential to create educational opportunities for a diverse AHP workforce. The educator workforce needs to embed future technologies whilst also considering environmental sustainability. AHP educators should…
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Domain 4: Formal Knowledge and Skills
Educators develop knowledge and skills during their practice through both formal and informal opportunities. They complete appropriate education and training and where appropriate accreditation and/or formal qualifications to enable…
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Domain 3: Community and Co-production
Co-creating learning opportunities and ensuring that the voices of learners and the end users of any service are empowered and heard enables educators to design, deliver and shape…
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Domain 2: Diverse and Inclusive leadership
Respect for the diversity of learners is at the core of educator practice. A commitment to developing equitable learning environments and addressing inequalities is fundamental to facilitate and…
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Domain 1: Responsibility and Accountability
All members of the AHP community need to be aware of the competencies required for their role as an educator. They should ensure that they engage with any opportunities to…
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Council of Deans of Health releases second of two new reports, AHP Educator Career Framework
The Council of Deans of Health supported by Health Education England, now NHS England, has released the second of two new reports today: AHP Educator Career Framework. AHP education…
Latest publications and briefings
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Principles for the use of Generative AI in healthcare education
The Council of Deans of Health has published the Principles for the use of Generative AI in Healthcare Education report as part of its Innovation…
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Briefing: UCAS Applicant Statistics for January 2026
The University and College Admissions Service (UCAS) has published a statistical release providing core numbers for the January equal consideration deadline 2026. The Council has published a briefing which summarises some of the key…
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AI Week: The Pedagogy of AI – Implications for healthcare education
Following the Council of Deans of Health’s 2025 Digital Summit, we are publishing this collaborative report with Elsevier which explores the evolving role of…
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Briefing: UCAS statistics on placed applicants 28 days after A-level and SQA results day 2025
UCAS has published data on confirmed places on undergraduate higher education courses 28 days after A-level results following the Clearing process. The full data…
Latest podcast episodes
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Over the past two decades, the health and care sector has experienced significant growth in the range of simulation techniques available, driven by advances in immersive technologies. The value of simulation lies in its ability to achieve intended outcomes in ways that may not be as easily or safely accomplished through traditional educational or practice-based…
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This Innovation Month 2026 podcast explores how education providers can embed the principles of co-production into the design and delivery of simulation-based education. Speakers will unpack what co-production means, why it matters, and the benefits it brings, alongside practical tips for overcoming common challenges. There will also be an opportunity to reflect on ASPiH standards…
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This Innovation Month 2026 podcast explores the importance of interprofessional education (IPE), an approach that brings together students from a range of disciplines to learn collaboratively and develop the skills essential for effective practice. Recognised for strengthening teamwork, communication, IPE continues to play a vital role in preparing students for integrated, person‑centred care. In this…
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This podcast critically explores bias in AI, particularly within the context of healthcare education. It unpacks what “bias” means in AI systems and highlights the real-world consequences of these biases, from reinforcing harmful stereotypes to perpetuating inequities in student outcomes and clinical training. The discussion raises urgent questions about responsibility and how students and staff…