AI-Driven Prescription Safety System
Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
university of bordj bou arreridj
Abstract
Drug-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
Description
Keywords
AI-driven system, prescription safety, drug-drug interactions, DDI detection, healthcare ecosystem, Algerian healthcare