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Digital Transformation of Medication Identification: Technological Evolution.

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Název: Digital Transformation of Medication Identification: Technological Evolution.
Autoři: 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.
Zdroj: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Aug 07; Vol. 329, pp. 1684-1685.
Způsob vydávání: Journal Article; Systematic Review; Review
Jazyk: English
Informace o časopise: 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-
Výrazy ze slovníku MeSH: Medication Errors*/prevention & control , Radio Frequency Identification Device* , Electronic Data Processing*, Humans
Abstrakt: 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.
Contributed Indexing: Keywords: Computer Vision; Digital Health; Medication Identification; RFID
Entry Date(s): Date Created: 20250808 Date Completed: 20250808 Latest Revision: 20250812
Update Code: 20250812
DOI: 10.3233/SHTI251163
PMID: 40776180
Databáze: MEDLINE
Popis
Abstrakt: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.
ISSN:1879-8365
DOI:10.3233/SHTI251163