Treffer: Digital Transformation of Medication Identification: Technological Evolution.
Title:
Digital Transformation of Medication Identification: Technological Evolution.
Authors:
Nguyen HN; Department of Data Science and Artificial Intelligence, AUT., Madanian S; Department of Data Science and Artificial Intelligence, AUT., Nguyen M; Department of Data Science and Artificial Intelligence, AUT., Merry A; Department of Anaesthesiology, University of Auckland., Parry D; School of Information Technology, Murdoch University.
Source:
Studies in health technology and informatics [Stud Health Technol Inform] 2025 Aug 07; Vol. 329, pp. 1684-1685.
Publication Type:
Journal Article; Systematic Review
Language:
English
Journal Info:
Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Imprint Name(s):
Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-
MeSH Terms:
Contributed Indexing:
Keywords: Computer Vision; Digital Health; Medication Identification; RFID
Entry Date(s):
Date Created: 20250808 Date Completed: 20250808 Latest Revision: 20251210
Update Code:
20251210
DOI:
10.3233/SHTI251163
PMID:
40776180
Database:
MEDLINE
Weitere Informationen
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.