AI + Hospital pharmacyAI‑Powered Hospital Pharmacy
Apply AI to pharmaceutical validation, medication review, research, pharmacovigilance and medicines management.
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Programmes for the health ecosystem
Learn AI to change practice
Ten specialist pathways for professionals who need to understand, test and implement Generative AI with rigour and clinical relevance.
Professional cohortsReal-world laboratoriesImplementation project
Current catalogue
Choose your area of specialisation
Content is tailored to each organisation while preserving a shared core: foundations, intensive practice, safety, ethics and implementation.
AI + Hospital pharmacy
AI + GastroenterologyGenerative AI in Digestive Health
Build capabilities for clinical practice, research and management across digestive health.
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AI + CardiologyGenerative AI in Cardiology
Risk stratification, cardiovascular evidence, imaging, documentation, follow-up and communication.
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AI + UrologyGenerative AI in Urology
Evidence and imaging review, case preparation, planning, follow-up and patient education.
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AI + OncologyGenerative AI in Oncology
Evidence synthesis, tumour board preparation, trials, biomarkers and clinical communication.
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AI + DermatologyGenerative AI in Dermatology
Multimodal AI, responsible image analysis, longitudinal follow-up, research and education.
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AI + PsychiatryGenerative AI in Psychiatry
Documentation, research and psychoeducation with close attention to privacy, bias and therapeutic relationships.
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AI + NeurologyGenerative AI in Neurology
Neuroimaging, symptom follow-up, evidence synthesis and decision support in complex conditions.
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AI + RheumatologyGenerative AI in Rheumatology
Longitudinal data, guideline updates, chronic disease follow-up, coordination and patient education.
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AI + EndocrinologyGenerative AI in Endocrinology
Metabolic data, diabetes, risk, follow-up, adherence and personalised patient communication.
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An architecture that adapts
The specialty changes. The learning experience remains demanding, safe and oriented towards application.
Understand
Generative AI, language models, multimodality, agents, limitations and risk.
Experiment
Current tools, specialty cases and collaborative practical work.
Implement
A final project turns learning into a concrete solution for practice or the organisation.
Custom programme
Tell us about the challengeIs your specialty not listed?
We can translate this learning architecture to another medical society, therapeutic area or health organisation.