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@article{194660,
        author = {BUJJIBABU MATTA},
        title = {Employees’ Attitude towards AI-Assisted Self-Medication Decision Making in Andhra Pradesh},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {4596-4603},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194660},
        abstract = {Artificial Intelligence (AI) has begun to play a significant role in transforming healthcare services by supporting medical diagnosis, treatment planning, and health-related decision making. In recent years, AI-based digital health applications such as symptom checkers, medical chatbots, and health advisory platforms have increasingly influenced individuals’ self-medication practices. Employees, particularly those with demanding work schedules, often rely on quick digital solutions for minor health concerns, which makes AI-assisted self-medication an emerging area of interest. Understanding employees’ attitudes towards such technologies is therefore essential for promoting responsible and informed health decisions. The present study examines employees’ attitudes towards AI-assisted self-medication decision making in Andhra Pradesh. A descriptive survey method was employed, and data were collected from a sample of 200 employees drawn from both government and private sectors. A structured attitude scale based on the Likert five-point format was used for data collection. The study considered several demographic variables, including age, gender, type of employment, educational qualification, place of residence, and experience in service. Statistical techniques such as mean, standard deviation, t-test, and analysis of variance were utilised to analyse the data. The findings indicate that employees generally exhibit a moderately favourable attitude towards the use of AI in self-medication decision making. Many respondents acknowledged that AI-based health tools provide quick access to medical information and support preliminary health decisions. However, concerns were expressed regarding the reliability of AI recommendations, possible misuse of medical information, and the risk of incorrect self-medication without professional consultation. Differences in attitudes were observed across certain demographic groups, particularly with respect to educational qualification, age, and place of residence. The study highlights the importance of improving digital health literacy and creating awareness about the appropriate use of AI-assisted healthcare tools. It also emphasises the need for regulatory frameworks and professional guidance to ensure that AI technologies complement rather than replace professional medical advice. The findings contribute to the growing body of research on artificial intelligence in healthcare and provide insights for policymakers, healthcare professionals, and technology developers in promoting safe and effective use of AI-based health applications.},
        keywords = {Artificial Intelligence, Self-Medication, Employee Attitude, Digital Health, Healthcare Technology, Andhra Pradesh.},
        month = {March},
        }