Indian Journal of Public Health Research & Development
Year : 2019, Volume : 10, Issue : 3
First page : ( 290) Last page : ( 292)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2019.00504.7

Can Artificial Intelligence be Used as an Enabler for Anti-Retro-Viral Medication Adherence in HIV-AIDS Management Programmes?

Ganesh Shayhana*

DUT Affiliate, Faculty of Management Sciences, Durban University of Technology, South Africa

*Corresponding Author: Shayhana Ganesh, DUT Affiliate, Faculty of Management Sciences, Durban University of Technology, South Africa Email: shayhanaganesh@gmail.com

Online published on 20 March, 2019.

Abstract

HIV-AIDS is a highly prolific disease and public health concern affecting the globe with developing countries more affected than developing countries. The mainstay of efforts to control the epidemic has been emphasised on HIV prevention, HIV treatment and HIV wellness. With established HIV-AIDS programmes and stable less toxic drug regimens, a strong focus has been enrolment onto Anti-retroviral combinations with strong adherence and medication compliance. Adherence to medication across all different types of disease entities has been difficult and ARV adherence is no different.as such, the clinical fraternity is in constant search of novel advances to enhance and optimise ARV adherence. On such approach is the use of artificial intelligence modelling as a tool for adherence enhancement. This paper reviews the available data on artificial intelligence use as an adherence enabler in HIV-AIDS programmes.

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Keywords

HIV-AIDS, adherence, artificial intelligence.

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