Generative AI Essentials for Healthcare
Overview
Join us for a practical training program designed to equip healthcare professionals with the skills to integrate advanced AI tools CoPilot) into their daily workflows. This CPD program offers a blended learning approach, combining in-person instruction with self-guided practice to provide practical strategies for improving patient communication, optimizing administrative tasks, and enhancing research efficiency.
Participants will receive step-by-step guidance on leveraging AI tools effectively while following ethical considerations and regulatory standards. To support continued learning, attendees will also gain 30 days of complimentary access to the subscription version of ChatGPT, enabling participants to further explore on their own beyond the training session.
This CPD is tailored for clinicians, researchers, and healthcare managers seeking to improve operational efficiency, innovation, and collaboration. Key learning outcomes include:
- Integrating AI tools into routine tasks to improve documentation, patient interactions, and decision-making.
- Applying prompt engineering techniques to generate high-quality AI outputs.
- Ensuring compliance with data privacy regulations and ethical AI use.
- Developing critical evaluation skills to assess AI limitations, risks, and biases.
- Implementing AI-driven automation to streamline reporting, research workflows, and administrative processes.
By the end of this program, participants will have the practical skills and knowledge necessary to confidently apply AI in professional settings, enhancing productivity and decision-making in an evolving healthcare landscape.
Professionals including doctors, nurses, dentists, pharmacists, and allied health and social care professionals and service managers working in any care settings (e.g., hospital, community, nursing homes).
Dr. Guido Giunti is the Chief Data Officer at St. James’s Hospital, Dublin, leading efforts to foster a data-driven culture with a human touch. He holds academic positions as an Adjunct Professor at Trinity College Dublin, the University of Oulu and University of Buenos Aires, contributing to medical education, digital health research, and the integration of emerging technologies into clinical practice.
With a background in clinical medicine, digital health, and human-computer interaction, Guido has worked across academic, clinical, and industry settings in Europe. Recognized internationally for his contributions, he has received awards such as the JCI Ten Outstanding Young Persons Award and HIMSS Changemaker in Health. He has led multiple initiatives blending healthcare, technology, and entrepreneurship to drive meaningful change in the digital health landscape.
Jack Doherty is a data science professional with a strong interdisciplinary background spanning mathematics, music, and biomedical research. He completed a B.A. (Moderatorship) in Mathematics and Music with First Class Honours at Trinity College Dublin. He later completed a Postgraduate Diploma in Data Science with Distinction at Technological University Dublin, developing expertise in statistical analysis, machine learning, and data visualization using tools such as Python and SQL.
Jack has developed substantial experience working with clinical and biomedical data through research roles associated with St. James’s Hospital and Trinity College Dublin. As a research assistant he has organised and analysed large clinical datasets, including compiling information from more than 600 emergency department seizure presentations. Over the past year he has further expanded his research profile by working as a data scientist with FutureNeuro, applying data science methods to neurological research and helping to extract meaningful insights from complex biomedical datasets.
This program takes a flexible, blended approach, combining in-person instruction with self-paced online learning. Participants will have access to online resources, allowing them to explore the material at their own rhythm.
Participants will join a one-hour online starter session to set expectations and background knowledge. An in-person workshop will offer hands-on experience with AI tools, focusing on real-world applications specifically for people working in healthcare.
To accommodate busy schedules, the workshop is offered several times a year on Friday afternoons. This structure ensures professionals can deepen their understanding of generative AI without disrupting their work commitments.
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Program Start Date |
Workshop Date |
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April 10, 2026 |
April 17, 2026 |
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September 4, 2026 |
September 11, 2026 |
Participants of this course will:
- Understand the Fundamentals. Learners will gain foundational knowledge of generative AI principles and their relevance in healthcare.
- Demonstrate Effective Prompt Engineering. Learners will understand how to craft precise, context-relevant prompts to optimize AI outputs.
- Evaluate Ethical and Practical Implications. Participants will reflect on potential biases, data protection concerns, and regulatory standards.
€390 for clinicians
€250 for researchers and AHPs
Dr. Guido Giunti for academic queries
Ms Archita Choudhury MedCPD@tcd.ie for administrative / invoicing queries
Development of this stand-alone module was co-funded by the European Union Digital Europe Programme “Sustainable Healthcare with Digital Health Data Competence” Grant Agreement No. 101190010.
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