Doriscan: a mobile model for barcode-based medicine identification and safety warning generation
Received: 2026-05-30
Published: 2026-06-06
Abstract
This thesis presents a conceptual mobile model named DoriScan for identifying medicines by barcode and generating concise safety-oriented warnings based on trusted pharmaceutical information. The system is considered as an informational support tool rather than a diagnostic or prescribing medical device. The proposed model combines a mobile barcode scanner, server-side API, medicine database, local cache and an artificial intelligence module for processing official instruction texts. The paper outlines the system architecture, data flow and preliminary evaluation criteria for a future prototype.
Keywords
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This work is licensed under a Creative Commons Attribution 4.0 International License.