Artificial intelligence in monitoring HIV treatment adherence: A conceptual exploration
1 Mediclinic Hospital Pietermaritzburg, South Africa.
2 Public Health Specialist, Albada General Hospital, Tabuk, Saudi Arabia.
3 Independent Researcher, Richmond, Virginia, USA.
4 University of North Florida, USA.
Review
International Journal of Multidisciplinary Research Updates, 2024, 07(02), 068–082.
Article DOI: 10.53430/ijmru.2024.7.2.0036
Publication history:
Received on 18 April 2024; revised on 03 June 2024; accepted on 06 June 2024
Abstract:
Artificial intelligence (AI) has emerged as a powerful tool in healthcare, with the potential to revolutionize the monitoring of HIV treatment adherence. This conceptual exploration delves into the various roles that AI can play in this critical aspect of HIV management, aiming to improve patient outcomes and enhance the effectiveness of treatment programs. The Review will discuss how AI can analyze data from various sources, such as electronic medical records, wearable devices, and patient-reported outcomes, to monitor treatment adherence in real-time. By leveraging machine learning algorithms, AI can identify patterns and trends in patient behavior that may indicate non-adherence, allowing healthcare providers to intervene early and provide targeted support. Furthermore, the Review will highlight the potential of AI to personalize adherence monitoring strategies based on individual patient characteristics and treatment regimens. AI can analyze large datasets to identify factors that influence adherence, such as socioeconomic status, mental health, and comorbidities, enabling tailored interventions that address the unique needs of each patient. Additionally, the Review will discuss how AI can improve patient engagement and education through personalized interventions delivered via mobile applications or virtual assistants. These interventions can provide patients with real-time feedback on their adherence behavior, offer motivational support, and address any barriers to adherence they may be facing. Overall, this conceptual exploration will demonstrate the transformative potential of AI in monitoring HIV treatment adherence. By harnessing the power of AI, healthcare providers can develop more effective strategies for improving adherence, ultimately leading to better health outcomes for patients living with HIV.
Keywords:
AI; Monitoring; HIV Treatment; Adherence; Conceptual Exploration-
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0