Optimizing Medication Management in Healthcare Settings Using AI

EasyChair Preprint 14729

Abstract

Effective medication management is critical for ensuring patient safety, optimizing therapeutic outcomes, and minimizing risks associated with drug therapy. Traditional methods face challenges such as medication errors, drug interactions, and non-compliance, which impact patient care and healthcare costs. This article explores the transformative role of Artificial Intelligence (AI) in optimizing medication management within healthcare settings. AI technologies, including machine learning, predictive analytics, and real-time monitoring, offer innovative solutions to address these challenges. By enhancing inventory control, personalizing dosing, improving adherence, and facilitating drug interaction predictions, AI significantly improves accuracy, efficiency, and patient outcomes. The article reviews current applications, benefits, and challenges of AI in medication management and outlines future directions for integrating AI technologies into healthcare systems. The findings highlight AI's potential to revolutionize medication management by reducing errors, lowering costs, and enhancing overall patient safety and care.

Keyphrases: Artificial Intelligence (AI), Healthcare Technology, Medication Management, Predictive Analytics, real-time monitoring

@booklet{EasyChair:14729,
  author    = {Joseph Oluwaseyi},
  title     = {Optimizing Medication Management in Healthcare Settings Using AI},
  howpublished = {EasyChair Preprint 14729},
  year      = {EasyChair, 2024}}