The EAHP Board, elected for three-year terms, oversees the association’s activities. Comprising directors responsible for core functions, it meets regularly to implement strategic goals. Supported by EAHP staff, the Board controls finances, coordinates congress organization, and ensures compliance with statutes and codes of conduct.
CPS2 – Artificial Intelligence in clinical pharmacy: threat or ally for patient safety?
Date:
13/03/2025 - 3:00 pm to 4:00 pm
14/03/2025 - 9:00 am to 10:00 am
Room:
Room 18+19 (13/03/2025) & Auditorium 10 (14/03/2025)
Facilitator:
Clément Delage
Speakers:
Abstract:
Link to EAHP Statements
Section 4 – Clinical Pharmacy: Statements – 4.1, 4.2, 4.3, 4.4, 4.6, 4.8
Section 5 – Patient Safety and Quality Assurance: Statements
Abstract
The advent of artificial intelligence (AI) has open new horizons and raised crucial questions in the healthcare environment, and clinical pharmacy is no exception. AI, for instance, has now the capability to autonomously detect potentially inappropriate prescriptions by considering patient records, biological analyses, medical history, and physiopathological conditions, and it can do this almost instantaneously for an entire hospital. Consequently, numerous questions arise. What is the relevance and quality of AI’s pharmaceutical analyses? Can and should we rely on it? What level of control will we have over its analyses? Does AI threaten the existence of the clinical pharmacist? Behind these questions lies a central concern, the focal point of this seminar: does AI jeopardise the role of the clinical pharmacist, or is it an ally that will become indispensable in optimizing patient safety?
Throughout the presentations, we will first delve into the intricate ecosystem of AI to understand its inner workings. Predictive modelling, big data analysis, and machine learning are techniques that must be understood to assess the advantages and limitations of AI in clinical pharmacy. Subsequently, we will examine its practical integration in clinical pharmacy practice through tools aiding pharmaceutical analysis or via the utilisation of technologies such as ChatGPT as a new source of information.
This session aims to provoke thoughtful reflections on the future of AI in clinical pharmacy, emphasizing its potential and emerging opportunities while also addressing its inherent challenges and limitations. Because beyond the complex mechanisms of AI, our mission remains unchanged: to ensure the safety and well-being of our patients. So, if you’re wondering ‘Will AI replace the clinical pharmacist?’, join us for this seminar. While we may not be able to provide a definitive answer to that question, we hope to drive you to the real one: “Will the clinical pharmacist who uses AI replace the clinical pharmacist who doesn’t?”.
Learning objectives
After the session, the participant should be able to:
- Understand the fundamental principles of AI techniques used in clinical pharmacy, including predictive modelling and machine learning.
- Evaluate how AI can be integrated into clinical pharmacy practice through, for example, automated pharmaceutical analysis of medication prescriptions.
- Assess the effectiveness of chatGPT in providing pharmaceutical information and analysis.
Educational need addressed
This conference will provide an overview of the AI tools available in the field of clinical pharmacy. It will present the opportunities they offer for the clinical pharmacist in optimising patient safety and the limitations they present in terms of effectiveness and use.
Keywords
Adverse Drug Reactions, Clinical Decision Support, Documentation, Drug Interactions, Medication Safety, Medication Therapy Management.