Smartphone-Based Point-of-Care Urinalysis Vivoo App: A Validation Study

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dc.authoridBalım Bengisu Caf / 0000-0003-2843-9659
dc.authoridGizem Çebi / 0009-0002-1130-2031
dc.authoridHaluk Çelik / 0000-0002-2355-7755
dc.authoridAliasghar Noroozi / 0000-0003-1173-079X
dc.authoridAli Atasever / 0009-0009-6818-5391
dc.authoridMiray Tayfun / 0009-0003-6714-3874
dc.authorscopusidHaluk Çelik / 57216588209
dc.contributor.authorCaf, Balım Bengisu
dc.contributor.authorÇebi, Gizem
dc.contributor.authorÇelik, Haluk
dc.contributor.authorNoroozi, Aliasghar
dc.contributor.authorAtasever, Ali
dc.contributor.authorTayfun, Miray
dc.date.accessioned2025-04-18T06:42:19Z
dc.date.available2025-04-18T06:42:19Z
dc.date.issued15 Nisan 2024
dc.departmentİstinye Üniversitesi, Lisansüstü Eğitim Enstitüsü, Sağlık Bilimleri, Kök Hücre ve Doku Mühendisliği Programı
dc.description.abstractPoint-of-care (POC) analysis has emerged as a pivotal approach in providing rapid and convenient medical diagnostics. Smartphone-based solutions further augment the accessibility and ease of POC, enabling efficient on-the-go analysis. The integration of smartphone technology with POC has paved the way for innovative applications such as the Vivoo App, which empowers users to monitor various health parameters conveniently. Our study validated the accuracy and reliability of the smartphone-based POC urinalysis Vivoo mobile application. A comparative approach was followed wherein artificial urine samples were analyzed using both the Vivoo and traditional laboratory methods. A diverse range of health parameters were assessed. A total of 2618 strips were used over the course of this study to evalate the accuracy of Vivoo. The test strips results appeared to match exactly the expected measurement results. In addition, when the ±1 color block acceptance criterion was applied, 2608 of 2618 measurements of the tested strips were found to have met the expected measurement results completely. Based on the results, the 95% confidence interval for the exact match agreement proportion of Vivoo is 87.55% ± 1.27% and 99.62% ± 0.24%. As a wellness product, this study thus concludes that the Vivoo is appropriate in terms of both device reliability and performance. The app's ability to provide accurate and timely health results offers promising opportunities to improve individual health management.
dc.identifier.citationCaf, B. B., Çebi, G., Çelik, H., Noroozi, A., Atasever, A., & Tayfun, M. (2023). Smartphone-Based Point-of-Care Urinalysis Vivoo App: A Validation Study. International Journal of Life Sciences and Biotechnology, 7(1), 60-73.
dc.identifier.doi10.38001/ijlsb.1371191
dc.identifier.endpage73
dc.identifier.issue1
dc.identifier.startpage60
dc.identifier.urihttps://doi.org/10.38001/ijlsb.1371191
dc.identifier.urihttps://dergipark.org.tr/tr/pub/ijlsb/issue/84105/1371191
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6352
dc.identifier.volume7
dc.institutionauthorÇelik , Haluk
dc.institutionauthoridHaluk Çelik / 0000-0002-2355-7755
dc.language.isoen
dc.publisherInternational Society of Academicians
dc.relation.ispartofInternational Journal of Life Sciences and Biotechnology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectPoint of care
dc.subjectUrinalysis
dc.subjectArticicial intelligence
dc.subjectWellness
dc.subjectHealth
dc.titleSmartphone-Based Point-of-Care Urinalysis Vivoo App: A Validation Study
dc.typeArticle

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