Harnessing data analytics for precision in HIVAIDS treatment, improving therapy distribution and patient monitoring

This paper explores the transformative role of data analytics in enhancing HIV/AIDS treatment, focusing on patient monitoring, optimizing therapy distribution, reducing medication errors, and improving treatment adherence. By harnessing real-time data from electronic health records, wearable devices, and predictive analytics, healthcare providers can personalize treatment plans, ensure timely antiretroviral therapy (ART) delivery, and mitigate risks related to non-adherence and medication errors. The paper also examines the broader global implications of data-driven HIV/AIDS care, highlighting future technologies such as artificial intelligence and machine learning that promise to further improve treatment precision. Ethical considerations, including data privacy and algorithmic bias, are also discussed to underscore the importance of equitable and secure healthcare delivery for HIV/AIDS patients. Keywords: HIV/AIDS, Data Analytics, Antiretroviral Therapy (Art), Patient Monitoring, Treatment Adherence, Precision Medicine