Nguyen, Hoang NamMadanian, SamanehNguyen, MinhMerry, AlanParry, Dave2025-08-122025-08-122025-08-07Studies in Health Technology and Informatics, ISSN: 0926-9630 (Print); 0926-9630 (Online), IOS Press, 329, 1684-1685. doi: 10.3233/SHTI2511630926-96300926-9630http://hdl.handle.net/10292/19662Medication errors pose a significant health challenge, contributing to thousands of deaths annually. This systematic review explores the technological evolution of medication identification: Barcode/Quick Response (QR) Code systems, Radio Frequency Identification (RFID)/Near-Field Communication (NFC), and Computer Vision, used to reduce errors and enhance patient safety. 140 articles from different databases were reviewed to compare their strengths, limitations, and applications. While barcodes offer cost-effective scanning, they require line-of-sight, RFID/NFC provide robust data retrieval yet faces high costs, and Computer Vision excels in flexibility despite computational demands. Combining these technologies could optimize safety.© 2025 The Authors. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).Computer VisionDigital HealthMedication IdentificationRFID0807 Library and Information Studies1117 Public Health and Health ServicesMedical Informatics4203 Health services and systems4601 Applied computingHumansMedication ErrorsRadio Frequency Identification DeviceElectronic Data ProcessingJournal ArticleOpenAccess10.3233/SHTI251163