An Evaluation of the MedSnap Medication Authentication System
Hymel, P. A.; Brossette, S. E.; Wong, D. Y.; Zheng, N.
Show abstract
Falsified and substandard (SF) medications are a large and growing global public health threat affecting developed and developing markets. The need for scalable, easy-to-use, accurate methods to detect SF medications continues to grow. We conducted a proof-of-principle laboratory and field sample evaluation of MedSnap in Vientiane, Lao PDR. Over three days, MedSnap models were created from trusted and authentic medications and tested against samples of authentic/trusted or falsified artesunate, artemether-lumefantrine, azithromycin, and ciprofloxacin. Across 48 tests of authentic/trusted and falsified samples, MedSnap was 100% sensitive and specific. On the final day of the study, a convenience sample of ciprofloxacin and azithromycin was collected from local pharmacies and tested. Each field sample matched an authentic/trusted model. The speed and ease of data collection, reference model building, and sample testing suggest scalable use cases for the system.
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