Rate the Article: The Revolution of Long-Term Care: Enhancing Efficiency and Accuracy in Medication Management Through Artificial Intelligence, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Review Papers | Computer Science | United States of America | Volume 13 Issue 9, September 2024 | Rating: 7 / 10


The Revolution of Long-Term Care: Enhancing Efficiency and Accuracy in Medication Management Through Artificial Intelligence

Bhanu Prakash Manjappasetty Masagali


Abstract: Non-adherence to medication is recognized as a public health concern, affecting treatment outcomes and overall healthcare cost [1]. A report by the Organization for Economic Co-operation and Development (OECD) revealed that failure to adhere to medical advice led to approximately 200,000 premature deaths annually in Europe [2]. The high health and economic costs of non-adherence to medication is a significant issue for both society and the economy. The healthcare industry is adopting Artificial Intelligence (AI) to transform medication management [3]. From prescription processing to ensuring patient adherence, AI is playing a pivotal role in reducing human error, improving efficiency, and personalizing care. Medication management, a critical area in elderly healthcare, benefits immensely from AI-driven solutions. It offers significant enhancements in speed, accuracy, and safety. This white paper explores how AI revolutionizes medication management, including key challenges, technological advancements, and real-world applications.


Keywords: Artificial Intelligence, Medication Management, Patient Outcomes, Non-Adherence, Clinical Decision Support, Predictive Analytics, Adverse Drug Events


Edition: Volume 13 Issue 9, September 2024,


Pages: 1713 - 1716



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