This is a training designed to equip healthcare professionals with skills to integrate advanced AI tools into their daily work

Summary of course structure

Course starts with a one-hour online introductory session, followed by a half-day in person workshop and ends with a one-hour online group consultation.

Outline of course structure

This program takes a flexible, blended approach, combining in-person instruction with self-paced online learning. Participants will be introduced to the course with access to online resources, allowing them to explore the material at their own rhythm. An in-person workshop will offer hands-on experience with AI tools, focusing on real-world applications specifically for people working in healthcare. After attending, participants can join a one-hour online group consultation to get additional support, ask follow-up questions, and refine their skills. This structure ensures professionals can deepen their understanding of generative AI without disrupting their work commitments.

Course Details

Start Date (1 hr Online): Online Session: 20 November, 11:00–12:00

Workshop Date (In person): In-Person Workshop: 27 November, 13:00–18:00, Venue: Durkan, TTMI

*Please note that the times are subject to final confirmation, which will be circulated to registrants by email.

Platform: Blackboard, Chat GPT Plus, Zoom

Participants of this course will learn how to:

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.

Overview of CPD including bio of speakers/email contacts

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.

Bio

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. Jam

Description supplied by the event organiser.