Aymen BOUREGHDAHoussam karam eddine BOUKHARITaha Yacine BENDERRADJIOussama BENMEHAMED2025-11-112025MM/919https://dspace.univ-bba.dz/handle/123456789/1019Drug-drug interactions (DDIs) present a critical challenge in Algeria’s healthcare system due to fragmented practices and limited digital infrastructure, contributing to medication errors and adverse outcomes. MolePure, an AI-driven prescription safety system, tackles these is sues with an integrated ecosystem offering DDI detection at all stages—doctor prescribing, pharmacist dispensing, and patient monitoring. It features a mobile app for patients to track medications, desktop apps for doctors to manage prescriptions with real-time DDI alerts, and for pharmacists to ensure safe dispensing, all linked via interoperable APIs prioritizing security and usability. An AI model, utilizing machine learning and deep learning, enhances interaction prediction, reducing errors and supporting digital health growth. By fostering collaboration across stakeholders, MolePure improves patient safety, streamlines workflows, and promotes safer pharmaceutical practices, aiming to decrease adverse events and elevate care quality in Algeria’s evolving healthcare landscapeenAI-driven systemprescription safetydrug-drug interactionsDDI detectionhealthcare ecosystemAlgerian healthcareThesis