Application of artificial intelligence technology in hospital management systems

Zhang Xinrui

doi:10.54254/2755-2721/50/20241548

Research Article

Open access

Published on 25 March 2024

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Xinrui,Z. (2024). Application of artificial intelligence technology in hospital management systems. Applied and Computational Engineering,50,229-233.

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Application of artificial intelligence technology in hospital management systems

Zhang Xinrui *^,1,

¹ Beijing Huijia Private School

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/50/20241548

Abstract

This article explores the application of artificial intelligence technology in hospital management systems, specifically using the innovative work order project as an example. The system can interact with users through intelligent AI interaction through text and voice, enabling intelligent work order repair and query processing. The project includes multiple functions such as work order form generation, attachment uploading, voice file uploading, work order query, and interface docking. In addition, this article also introduces the requirements for integrating hospital logistics business with Turing CHATGPT application scenarios, including equipment failure repair, patient satisfaction surveys, patient follow-ups, and medical staff training and learning. Through detailed descriptions of interface docking, data flow, and functions, this article highlights the potential of AI technology to enhance work efficiency and user experience in hospital management systems. Finally, this article discusses the current achievements and future development directions and calls for further innovation and progress in medical information management systems.

Keywords

Artificial Intelligence, Hospital management systems, Application

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References

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Cite this article

Xinrui,Z. (2024). Application of artificial intelligence technology in hospital management systems. Applied and Computational Engineering,50,229-233.

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About volume

Volume title: Proceedings of the 4th International Conference on Signal Processing and Machine Learning

Conference website: https://www.confspml.org/

ISBN：978-1-83558-345-6(Print) / 978-1-83558-346-3(Online)

Conference date: 15 January 2024

Editor：Marwan Omar

Series: Applied and Computational Engineering

Volume number: Vol.50

ISSN：2755-2721(Print) / 2755-273X(Online)

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