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Review Papers | Computer Science | Volume 13 Issue 9, September 2024 | Pages: 1713 - 1716 | United States
The Revolution of Long-Term Care: Enhancing Efficiency and Accuracy in Medication Management Through Artificial Intelligence
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
How to Cite?: Bhanu Prakash Manjappasetty Masagali, "The Revolution of Long-Term Care: Enhancing Efficiency and Accuracy in Medication Management Through Artificial Intelligence", Volume 13 Issue 9, September 2024, International Journal of Science and Research (IJSR), Pages: 1713-1716, https://www.ijsr.net/getabstract.php?paperid=SR24928120009, DOI: https://dx.doi.org/10.21275/SR24928120009