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Published (Version of Record)CC BY-NC V4.0, Open Access
Journal article
Digital Transformation of Medication Identification: Technological Evolution
Studies in health technology and informatics, Vol.329, pp.1684-1685
2025
PMID: 40776180
Abstract
Medication 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.
Details
- Title
- Digital Transformation of Medication Identification: Technological Evolution
- Authors/Creators
- Hoang Nam Nguyen - Department of Data Science and Artificial Intelligence, AUTSamaneh Madanian - Artificial Intelligence in Medicine (Canada)Minh Nguyen - Artificial Intelligence in Medicine (Canada)Alan Merry - University of AucklandDave Parry - Murdoch University
- Publication Details
- Studies in health technology and informatics, Vol.329, pp.1684-1685
- Publisher
- IOS Press
- Identifiers
- 991005802350307891
- Copyright
- © 2025 The Authors.
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Journal article
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