Vol. 3 No. 2 (2023): Hong Kong Journal of AI and Medicine
Articles

Machine Learning Approaches for Enhancing Healthcare Operational Efficiency

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  • Dr. Vincent Wong
Dr. Vincent Wong
Associate Professor of Computer Science, Hong Kong University of Science and Technology (HKUST)
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Published 18-10-2023

Keywords

  • Healthcare,
  • Operational Efficiency
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Vincent Wong, “Machine Learning Approaches for Enhancing Healthcare Operational Efficiency”, Hong Kong J. of AI and Med., vol. 3, no. 2, pp. 88–104, Oct. 2023, Accessed: Dec. 03, 2024. [Online]. Available: https://hongkongscipub.com/index.php/hkjaim/article/view/56

Abstract

The application of machine learning approaches in modern healthcare systems has significantly transformed patient care, administration, and core operational areas. The gradual shift of healthcare delivery from manual routines to information-based procedures and systems can be associated with rapid technological advancements. The continuous growing demand for healthcare services, along with a shortage of resources, presents major challenges faced by healthcare operations. In an effort to tackle these challenges, improve service outcomes, and maintain patient satisfaction, healthcare providers are increasingly looking to the transformative power of machine learning technologies.

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