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[Research Progress on Application of Intelligent Operation and Maintenance Models in Medical Equipment Management]
1Department of Medical Equipment, Shanghai Sixth People's Hospital, Shanghai, 200233.
Intelligent operation and maintenance (O&M) models using big data, IoT, and AI can improve medical equipment management. This review explores their technical aspects, algorithms, challenges, and future improvements for better healthcare services.
Area of Science:
- Healthcare Management
- Biomedical Engineering
- Computer Science
Background:
- Effective medical equipment management is vital for healthcare quality and efficiency.
- Traditional management methods struggle with modern healthcare demands.
- Emerging intelligent operation and maintenance (O&M) models offer potential solutions.
Purpose of the Study:
- To review the technical overview of intelligent O&M models.
- To discuss algorithms and challenges associated with AI, IoT, and big data in medical equipment O&M.
- To propose areas for improvement in intelligent O&M models for future development.
Main Methods:
- Literature review of intelligent O&M technologies.
- Analysis of algorithms and challenges in AI, IoT, and big data-driven O&M.
- Identification of key issues and future research directions.
Main Results:
- Intelligent O&M models offer advanced capabilities for medical equipment management.
- Key algorithms and challenges related to big data, IoT, and AI integration were identified.
- Specific areas requiring further development in intelligent O&M were highlighted.
Conclusions:
- Intelligent O&M models are essential for the future of medical equipment management.
- Addressing identified challenges will enhance the efficiency and effectiveness of these models.
- This research provides a foundation for advancing intelligent O&M in healthcare.
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