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@article{206184,
        author = {DR. R.Sudha and Dr. A. SanthaDevi and Karthikadevi.S.M and Gladious .B and Jeevitha. S and Deepasriharini .S .T and Mrithika. K and Harshini S},
        title = {QR Code-Based Multilingual Medicine Expiry Alert System for Enhanced Patient Safety: A Conceptual Framework and Preliminary User Awareness Study},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {334-341},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206184},
        abstract = {Background: Over use of out-of-date medicines remains a poorly-addressed public health problem, especially in LMI countries where small printed labels and lack of health literacy, functional vision, and language proficiency are risk factors for unsafe medicine use. 
Objective: With this in view, this study was a conceptual analysis to present a multilingual medicine expiry alert system using QR code as a digital health solution to supporting patients to access timely, clearly presented and language-appropriate medicine expiry information. It also explores the users' awareness of medicine expiry dates, expiry-checking behaviour, technology readiness and initial intention regarding this proposed system.
Methodology: The Methodology was descriptive, cross-sectional survey of 50 respondents using purposive sampling technique. A structured questionnaire consisting of 15 items was developed on medicine expiry awareness, expiry checking, smartphone ownership, qr code familiarity and willingness to adopt the technology and data collected. This medicine QR code-based system would feature a secure and cloud-based medicine database, a translation module with TL-English validation by pharmacist and covering at least 5 languages, a mobile app interface, and a push-notification system, which would proactively alert the users when the medicine is about to expire etc. Expert validation of content was acceptable and internal consistency was good, Cronbach alpha = 0.74. Descriptive statistics and chi-square tests were used for data analysis and effect size was determined via Phi and Cramer's V.},
        keywords = {digital health, medicine expiry, multilingual health communication, patient safety, QR code.},
        month = {July},
        }