Abstract

ASSESSMENT OF INFLUENCE OF AI IN SELF-MEDICATION PRACTICES AMONG RURAL POPULATION OF TAMILNADU

M. Ranga Priya*, A. Durga, M. Jagan, P. Kalaiselvi, G. Madhan, R. Manivannan

Abstract

Self-medication is a reasonably widespread practice that involves using medications without a doctor's supervision, frequently to cure minor illnesses. Although this conduct provides quick symptom and/or clinical manifestation alleviation, it also carries various serious hazards, including misdiagnosis, antibiotic resistance, and negative side effects from improper medication administration. An Observational, Cross-sectional – Knowledge, Attitude, and Practice (KAP) study was aimed to assess the influence of Artificial Intelligence on Self-medication practices among rural population. According to the study's findings, self-medication is very common among young adults in rural Tamilnadu, mostly for minor conditions like fever, headaches, and colds. Even though most participants are aware of some risks, there are still a lot of misconceptions and knowledge gaps. Antimicrobial resistance could be exacerbated by the widespread, unauthorized use of antibiotics. Self-medication practices are increasingly being shaped by artificial intelligence and online platforms. Although AI presents promising tools for tracking adherence and forecasting drug-related risks, relying too much on unregulated online sources can have major negative effects on one's health. In general, AI facilitates self-medication practices while also increasing their risk. To ensure the secure integration of AI in healthcare, responsible use, regulatory oversight, and public education will be needed.

Keywords: Self- medication, Artificial intelligence, AI in health care, OTC, self-medication practice.