Vol. 4 No. 2 (2024): Journal of Deep Learning in Genomic Data Analysis
Articles

AI-driven Hospital Workflow Optimization for Enhanced Patient Care: Developing AI-driven solutions to optimize hospital workflows and improve the efficiency of patient care delivery

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  • Dr. Victor Chen
Dr. Victor Chen
Associate Professor of Biomedical Engineering, National Cheng Kung University, Taiwan

Published 07-09-2024

Keywords

  • Hospital Workflow
Creative Commons License

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

How to Cite

[1]
Dr. Victor Chen, “AI-driven Hospital Workflow Optimization for Enhanced Patient Care: Developing AI-driven solutions to optimize hospital workflows and improve the efficiency of patient care delivery”, Journal of Deep Learning in Genomic Data Analysis, vol. 4, no. 2, pp. 1–11, Sep. 2024, Accessed: Sep. 18, 2024. [Online]. Available: https://thelifescience.org/index.php/jdlgda/article/view/31

Abstract

This paper presents an innovative approach to enhancing patient care through the optimization of hospital workflows using artificial intelligence (AI). The healthcare industry faces numerous challenges, including increasing patient volumes, limited resources, and the need for efficient and effective care delivery. AI technologies offer promising solutions to these challenges by automating and streamlining various aspects of hospital operations. This research focuses on developing AI-driven solutions that optimize hospital workflows to improve patient care quality, reduce wait times, and enhance overall operational efficiency. The proposed solutions leverage AI algorithms, including machine learning and natural language processing, to analyze patient data, optimize staff allocation, and streamline administrative processes. The paper also discusses the implementation challenges and ethical considerations associated with AI-driven healthcare solutions. Overall, this research contributes to the growing body of knowledge on AI applications in healthcare and provides valuable insights for healthcare practitioners and policymakers.

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