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 (such as ChatGPT, MidJourney, and 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 adhering to 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.

Register today to advance your expertise in AI-driven healthcare solutions.

Who is this Course For?

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).

Who Teaches the Course?

Dr. Guido Giunti Clinical Medicine Neurology

Learning Outcomes

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.

Time, Date, and Place

The time contribution for this course is listed below.

The training program’s blended learning approach combines in-person instruction with self-guided practice. Online resource materials will be made available so that participants can engage with the contents at their own pace. An in-person workshop will allow hands-on experience with AI tools focusing on concrete use cases for healthcare professionals. The in-person workshop will be offered several times each semester, typically on a Saturday morning or Friday evening depending on availability, making it feasible for professionals juggling diverse schedules. The first workshop will take place in April 2025.

After the workshop, a scheduled one-hour online group consultation  session is provided to continue support and engagement, enabling participants to pose follow-up questions, refine their practical skills, and discuss real-world applications. This approach ensures learners can improve their understanding of generative AI technologies without sacrificing their professional obligations. By combining asynchronous study with live interaction, the CPD remains both flexible and engaging, catering to diverse working patterns and organizational needs.

Course Fees

€390 for clinicians

€250 for researchers and AHPs

Apply/ Enrol

To secure your place, please contact Ms Beth Whitney at MedCPD@tcd.ie confirming payment via the below link (or if you wish to pay via invoice & PO).

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Acknowledgement of EU funding

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.