DIGITAL TRANSFORMATION IN PHARMACY: ARTIFICIAL INTELLIGENCE AND THE FUTURE

AI systems analyze large volumes of data statistically, identifying patterns to make predictions, decisions, or inferences. During the training phase, the system corrects its errors using data samples, enabling it to recognize similar patterns in new situations and produce appropriate responses. In essence, AI establishes meaningful connections from data, solves problems, and improves performance over time.

Different AI approaches are applied based on the problem’s nature, such as:

Machine Learning: Models that work with labeled data (supervised learning), unlabeled data (unsupervised learning), or reinforcement-based learning.

Deep Learning: Models based on artificial neural networks, particularly effective for handling complex data structures.

The choice of model or architecture depends on the problem type and requirements.

-AI always makes the right decision: AI can make mistakes. Like human learning, AI improves by learning from its errors. Therefore, healthcare professionals’ oversight and final decision-making are vital.

"If a machine is expected to be infallible, it cannot also be intelligent." – Alan Turing

-AI will make pharmacists unnecessary: AI is designed to support humans, not replace them. Instead of fearing AI, we should focus on how it can accelerate and enhance our work.

AI offers the potential to shape the future of pharmacy with its capabilities. With emerging technologies, personalized treatments and smart systems will become widespread, improving patients' quality of life. New standards will emerge in patient monitoring, inventory tracking, and automated prescription management. In the future, both patients and pharmacists will benefit from a more effective and efficient healthcare system.