AIECS 2026Belgrade · 14–15 November 2026Admin login
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Conference contributor

Raghad Mahmoud Fallaha

Maaref University of Applied Sciences

Biography

Biography pending.

Conference contributions 1

AI-BASED SMART PHARMACY SYSTEM FOR SAFER MEDICATION USE AND PATIENT-CENTERED CARE

Raghad Mahmoud Fallaha1

Medication errors, poor adherence, and incomplete patient history remain major challenges in community pharmacies, affecting treatment outcomes and patient safety. This project proposes an AI-based Smart Pharmacy System that integrates artificial intelligence with a mobile health application to support pharmacists and improve patient-centered care. When patients enter the pharmacy, they interact with an AI-supported interface that collects essential information, including age, weight, medical history, allergies, chronic diseases, and current medications. The pharmacist then enters the dispensed medication, and all data are securely stored. The system generates a unique patient code linked to the mobile application, allowing access to the full medication profile, reminds patients of scheduled dose times, and provides clear instructions through text and AI voice guidance. A key feature of the system is continuity of care. When patients return for new treatment, pharmacists can review previous medications, chronic conditions, past complications, and treatment responses through the patient code. This supports safer and more precise therapy, especially for elderly patients and those with chronic diseases. Another component is medication adherence tracking. The application divides the treatment plan according to the prescribed duration, reminds patients of scheduled dose times, and allows them to confirm each dose. This creates a record that helps pharmacists evaluate whether poor treatment response is due to missed or irregular doses. The system also enables direct communication between patients and pharmacists regarding side effects, questions, or medication-related problems. AI continuously monitors potential drug interactions and dose conflicts when new medications are entered and sends timely alerts to the pharmacist. Overall, the system improves adherence, reduces errors, enhances patient understanding, and supports responsible AI use without replacing pharmacists.