Ciência e Letras · Research & Innovation
The teaching resources we use in our courses and the public results of our research on how to teach and apply artificial intelligence in health and professional training.
In the classroom
Slides, guides, exercises and tools we use in our courses. We publish them here once they are ready to be reused by other trainers, teachers and learners.
Tool · Artificial Intelligence
Five fictitious patients stored as HL7 FHIR International Patient Summaries. Download each IPS, read it as a human-readable summary and explore a timeline generated from it by explicit rules. An example of what participants build with generative AI.
Template · Artificial Intelligence
One conversation with an AI assistant takes a workplace initiative from first idea to dissemination, in seven phases. Each phase has a technique, a prompt to fill in, an iteration and a checklist. A teaching resource of the Ciência e Letras generative AI courses.
Tool · Artificial Intelligence
Build a sentence word by word, see the probabilities behind each choice, play with temperature and see how text becomes tokens. A teaching resource on the fundamentals of generative AI for non-specialists.
No resources match these filters.
Courses are currently taught in Portuguese.
Research & Development
Six lines of work connect our research with what happens in the classroom. Each one feeds new courses, new teaching methods or software components we test in our own training first.
Line 01
ActiveWe research and develop methods for teaching generative AI in a practical, critical and responsible way. The focus is not only on using tools, but on understanding their limits, risks, potential and professional uses.
Line 02
ActiveWe design training for specific sectors, including healthcare, tourism, the plastics industry, higher education and organisations going through digital transformation. Each course starts from the real needs of professionals and institutions.
Line 03
In developmentWe are developing teaching support models based on AI agents to help learners, trainers and coordinators throughout a course — answering questions, following participation, spotting difficulties early and personalising the learning experience.
Line 04
In developmentWith our technology partners we are building Moodle components for intelligent tutoring, AI-assisted feedback, assessment support, automated follow-up and course coordination. They are tested first in CeL courses and may later be offered to partners who use Moodle.
Line 05
ActiveWe are exploring AI and agents to support needs assessment, course organisation, tutoring, assessment, analysis of results and continuous improvement, while meeting the quality requirements of certified training.
Line 06
ActiveOur team carries out and takes part in research on teaching AI, digital health, health informatics, digital literacy and teaching innovation, linking research, training and professional practice.
Open results
Tools, code, datasets and studies from our R&D that are mature enough to be used outside our courses.
The first artefacts from lines 03 and 04 are being tested in our courses. They will appear here once they are stable and documented.
Articles in Portuguese.
Scientific output
Peer-reviewed work by our team on teaching AI, health informatics education and digital health.
EFMI Best Student Paper Prize
A GenAI Training Programme Enabling Healthcare Professionals to Prototype Clinical Software
Incorporating ChatGPT in Medical Informatics Master's Education: Understanding Student Perceptions and Guiding Experiential Integration
Incorporating ChatGPT in Medical Informatics Education: Mixed Methods Study on Student Perceptions and Experiential Integration Proposals
Integration of Artificial Intelligence in Medical Education: Developing a Framework for Curriculum Enhancement
Biomedical and health informatics teaching in Portugal: Current status
Researchers and trainers
Professor and researcher in health informatics, digital health, interoperability and applied AI. Coordinates CeL's innovation and R&D strategy.
Trainer and specialist in generative AI applied to professional training.
Trainer and specialist in practical uses of generative AI, including training for health professionals.
Trainer and collaborator in applied AI.
Trainer and collaborator in applied AI.
Researcher in user experience and AI in healthcare, mapping the user journey in primary care.
Principal Health Interoperability Consultant at Timestamp SI, with international certifications and research in data science.
R&D in collaboration
AI-agent tutoring and teaching support, AI integration in Moodle, assessment support, and literacy and communication components.
AI agents for health literacy and communication with patients, extending our work beyond professional training.
Want to reuse a resource, collaborate on a study or bring one of these approaches to your organisation? Write to us.
