AI-Driven Prescription Safety System

dc.contributor.authorAymen BOUREGHDA
dc.contributor.authorHoussam karam eddine BOUKHARI
dc.contributor.authorTaha Yacine BENDERRADJI
dc.contributor.authorOussama BENMEHAMED
dc.date.accessioned2025-11-11T13:38:00Z
dc.date.issued2025
dc.description.abstractDrug-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 landscape
dc.identifier.issnMM/919
dc.identifier.urihttps://dspace.univ-bba.dz/handle/123456789/1019
dc.language.isoen
dc.publisheruniversity of bordj bou arreridj
dc.subjectAI-driven system
dc.subjectprescription safety
dc.subjectdrug-drug interactions
dc.subjectDDI detection
dc.subjecthealthcare ecosystem
dc.subjectAlgerian healthcare
dc.titleAI-Driven Prescription Safety System
dc.typeThesis

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