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 | Popularity: 5.5 / 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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Bhanu Prakash Manjappasetty Masagali, "The Revolution of Long-Term Care: Enhancing Efficiency and Accuracy in Medication Management Through Artificial Intelligence", International Journal of Science and Research (IJSR), Volume 13 Issue 9, September 2024, pp. 1713-1716, https://www.ijsr.net/getabstract.php?paperid=SR24928120009



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