F. Uzoka, Mugisha Gift, K. Attai, B. Akinnuwesi, S. Mlay, P. Zeh, Arnold Kiirya, C. Muhumuza, J. Bukenya, S. Fashoto, Daniel Asuquo, C. Akwaowo, O. K. Akputu, Mercy E. Edoho, Ifiok J. Udo, Lucy Amaniyo, A. Metfula, Gorretti Kyeyune
{"title":"Tackling Occupational and Nosocomial Infection using Vitex-Medical Assistant Tool","authors":"F. Uzoka, Mugisha Gift, K. Attai, B. Akinnuwesi, S. Mlay, P. Zeh, Arnold Kiirya, C. Muhumuza, J. Bukenya, S. Fashoto, Daniel Asuquo, C. Akwaowo, O. K. Akputu, Mercy E. Edoho, Ifiok J. Udo, Lucy Amaniyo, A. Metfula, Gorretti Kyeyune","doi":"10.23919/IST-Africa56635.2022.9845540","DOIUrl":null,"url":null,"abstract":"In middle- and low-income countries where higher nosocomial infection rates have been reported, approximately 5% to 10% of hospitalized patients have some infection acquired after admission. Recent studies suggest that contaminated environmental surfaces may play a major role in the transmission of nosocomial infections. Therefore, this study presents an e-Medical Assistant Tool (Vitex), which is a mobile device that disinfects wards of 100 square feet in a single cycle which can be increased since the device is mobile by using powerful U.V rays of 222nm that can be used in occupied rooms without adverse effects on human health. It also employs artificial intelligence, big data, and machine learning to improve patient care and practitioner assistance. Unlike existing similar devices, our innovation disinfects the ward, and facilitates healthcare provision via remote patient consultation and diagnosis; thus, bringing care nearer to the patient.","PeriodicalId":142887,"journal":{"name":"2022 IST-Africa Conference (IST-Africa)","volume":"417 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IST-Africa Conference (IST-Africa)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/IST-Africa56635.2022.9845540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In middle- and low-income countries where higher nosocomial infection rates have been reported, approximately 5% to 10% of hospitalized patients have some infection acquired after admission. Recent studies suggest that contaminated environmental surfaces may play a major role in the transmission of nosocomial infections. Therefore, this study presents an e-Medical Assistant Tool (Vitex), which is a mobile device that disinfects wards of 100 square feet in a single cycle which can be increased since the device is mobile by using powerful U.V rays of 222nm that can be used in occupied rooms without adverse effects on human health. It also employs artificial intelligence, big data, and machine learning to improve patient care and practitioner assistance. Unlike existing similar devices, our innovation disinfects the ward, and facilitates healthcare provision via remote patient consultation and diagnosis; thus, bringing care nearer to the patient.