Vol. 4 No. 1 (2024): Hong Kong Journal of AI and Medicine
Articles

AI-powered Clinical Pathway Optimization for Chronic Disease Management

Dr. Umaima Omar
Professor of Computer Science, Universiti Teknologi Malaysia
Cover

Published 31-07-2024

Keywords

  • AI,
  • Clinical Pathway Optimization,
  • Chronic Disease Management,
  • Healthcare,
  • Outcomes,
  • Costs,
  • AI Algorithms,
  • Care Plans
  • ...More
    Less

How to Cite

[1]
Dr. Umaima Omar, “AI-powered Clinical Pathway Optimization for Chronic Disease Management”, Hong Kong J. of AI and Med., vol. 4, no. 1, pp. 89–97, Jul. 2024, Accessed: Dec. 03, 2024. [Online]. Available: https://hongkongscipub.com/index.php/hkjaim/article/view/24

Abstract

Chronic diseases pose a significant challenge to healthcare systems worldwide due to their long-term management requirements and associated costs. This paper explores the application of artificial intelligence (AI) in optimizing clinical pathways for chronic disease management. By leveraging AI algorithms, healthcare providers can tailor care plans to individual patients, improving outcomes and reducing costs. This paper reviews current challenges in chronic disease management, discusses the potential of AI in optimizing clinical pathways, and highlights key considerations for implementing AI-powered solutions. Case studies and examples illustrate the impact of AI in chronic disease management. Overall, this paper advocates for the integration of AI into healthcare practices to enhance the quality and efficiency of chronic disease management.

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