Guided seminar
Concepts, demonstrations, discussion and hospital pharmacy cases.
Intensive programme · Applied AI
AI‑Powered Hospital Pharmacy
Develop the capabilities to use Generative AI in hospital pharmacy practice, research, education and medicines management.
8 consecutive weeks40 learning hoursBlended delivery
Overview
Hospital pharmacy with Generative AI
An eight-week programme for hospital pharmacists who want to integrate AI into clinical practice and research safely, critically and through practical application.
Participants apply AI to pharmaceutical validation, medication review, reconciliation, pharmacovigilance, research and management. Every week links a seminar to a hands-on lab and a deliverable that contributes to the final project.
Objectives
From understanding AI to applying it in hospital practice
The programme builds sufficient technical understanding and converts it into useful tools, processes and decisions for hospital pharmacy.
- Understand Generative AI foundations, capabilities, limitations and applications.
- Improve clinical pharmacy, management and research with advanced tools.
- Integrate AI into validation, medication review and reconciliation.
- Explore pharmacovigilance, pharmacotherapy and patient safety use cases.
- Assess ethical, legal and professional implications.
- Create a personalised plan for implementing a solution in a real hospital setting.
Content
Eight modules, one connected project
Tools are reviewed for every cohort so the programme stays current and relevant.
01Artificial intelligence foundations
AI history and evolution, machine learning, deep learning, language models, context, hallucinations, multimodality, prompting and first hospital use cases.
02Pharmacy research with AI agents
Systematic literature search, evidence synthesis, study comparison, citation validation and responsible use of research agents.
03AI in day-to-day pharmaceutical care
Prompt and context engineering, clinical documentation, data analysis, patient communication and specialist prompt toolkits.
04Designing specialist assistants
Assistants for protocols, validation, reconciliation, interactions and dose adjustment, with explicit boundaries and safety-focused testing.
05Reasoning models and development
Complex pharmacotherapy cases and no-code prototypes for calculators, dashboards and alert systems.
06Advanced tools and ecosystems
Integration with productivity, data and knowledge environments; workflow automation and tool selection by risk, value and governance.
07Multimedia content and education
Educational material for professionals and patients across text, image, audio and video, with clinical review and quality criteria.
08Final projects, ethics and the future
Project presentation, impact assessment, ethical and regulatory framework, implementation plan and community of practice.
Methodology
An intensive, applicable experience
Every block combines understanding, experimentation and transfer into professional work.
Practical lab
Hands-on work with current tools, synthetic data and professional situations.
Final project
A viable solution to a real challenge, developed with guidance and presented at the end.
Assessment
Learning measured through application
Assessment focuses on work produced during the programme and the ability to turn it into a defensible implementation.
Final implementation project40%
Weekly deliverables30%
Active participation20%
Hands-on labs10%
Participant profile
For professionals who want to lead change
No programming experience is required. Curiosity, professional judgement and a willingness to experiment are essential.
Hospital pharmacy
Specialist pharmacists, clinical pharmacists and pharmaceutical care leads.
Research and management
Professionals working in research, pharmacovigilance, quality, safety and medicines management.
Starting knowledge
Descriptive statistics, basic research methodology and familiarity with digital tools.
Faculty
Technical, educational and clinical experience
Programme director Consuelo Verdú leads a team that includes Dr Javier Mendoza as medical advisor and specialists linked to the programme's practical challenges.
Néstor Guerra
Corporate innovation, AI and Lean Startup. Telecommunications engineer and Executive MBA.
Consuelo Verdú
Programme director. Innovation, creativity and transformation. Economist, ESADE MBA and educator.
Javier Fuentes
Entrepreneur, mentor and university lecturer specialising in technology and AI.
Javier Mendoza, MD, PhD
Medical advisor. Gastroenterologist with expertise in digital health and clinical AI.
PA
Pedro Arce
Telecommunications engineer with training in applied health AI, transformation and innovation.
AI‑Powered Hospital Pharmacy
Request informationPrepare a cohort for your organisation
We tailor cases, schedule, tools and depth to the needs of the group.