Hana Otolaryngology Hospital Establishs AI-based Real-Time Network Monitoring and Automatic Notification System itself
Nov 18, 2025
Hana Otolaryngology Hospital (Hospital Director Lee Sang-deok) announced that it has built its own 'real-time network monitoring and automatic notification system' using GPT-based development support to improve the stability of the hospital's computer network and improve the quality of medical services.
The system utilizes open-source technologies such as Prometheus, Blackbox Exporter, and Grafana to monitor the connection status of network equipment in real time and immediately send notifications to managers in the event of network delays or disconnection.
The computer team at Hana Otolaryngology Hospital actively utilized OpenAI's GPT technology during the development process.
GPT is not just a code generation level, but ▲Prometheus query creation and optimization ▲Grafana Alert Rule design and conditional logic configuration ▲Discord Webhook message template automatically generation ▲ natural language alert sentence generation to analyze failure situation ▲ diagnosis of cause of error and suggestion of solution ▲ structure design advice to reduce alarm delay, etc. in the overall development to increase system completeness.
Until now, in the event of a network failure, the person in charge had to manually check the condition of the equipment, making it difficult to determine when the problem occurred and the response time was often delayed. With the introduction of the system, network failures can be monitored 24 hours a day, detected within tens of seconds, and automatically notified to further increase the availability of important systems related to patient care.
Park Wan-jin, head of the computer team at Hana Otolaryngology Hospital, explained, "This project has greatly shortened the development period by AI proposing codes and settings, analyzing problems, and automatically generating notification phrases, and greatly improving system quality." In the future, we plan to continue to strengthen the digital capabilities of hospitals by expanding AI-assisted development support (AI-assisted development) in various fields such as medical device status monitoring, server load prediction, and EMR system stabilization, he added.
With this development, Hana Otolaryngology Hospital established a system that actively utilizes AI as a development tool and laid the foundation for next-generation operational automation (AIOps for IT operations) that incorporates artificial intelligence into the overall IT operations of the hospital.
The hospital plans to operate the system in the hospital, and plans to promote various AI projects that can be used directly in the medical field, such as predicting patient waiting times and analyzing treatment patterns by tuning the GPT model to the environment in the future.
The system utilizes open-source technologies such as Prometheus, Blackbox Exporter, and Grafana to monitor the connection status of network equipment in real time and immediately send notifications to managers in the event of network delays or disconnection.
The computer team at Hana Otolaryngology Hospital actively utilized OpenAI's GPT technology during the development process.
GPT is not just a code generation level, but ▲Prometheus query creation and optimization ▲Grafana Alert Rule design and conditional logic configuration ▲Discord Webhook message template automatically generation ▲ natural language alert sentence generation to analyze failure situation ▲ diagnosis of cause of error and suggestion of solution ▲ structure design advice to reduce alarm delay, etc. in the overall development to increase system completeness.
Until now, in the event of a network failure, the person in charge had to manually check the condition of the equipment, making it difficult to determine when the problem occurred and the response time was often delayed. With the introduction of the system, network failures can be monitored 24 hours a day, detected within tens of seconds, and automatically notified to further increase the availability of important systems related to patient care.
Park Wan-jin, head of the computer team at Hana Otolaryngology Hospital, explained, "This project has greatly shortened the development period by AI proposing codes and settings, analyzing problems, and automatically generating notification phrases, and greatly improving system quality." In the future, we plan to continue to strengthen the digital capabilities of hospitals by expanding AI-assisted development support (AI-assisted development) in various fields such as medical device status monitoring, server load prediction, and EMR system stabilization, he added.
With this development, Hana Otolaryngology Hospital established a system that actively utilizes AI as a development tool and laid the foundation for next-generation operational automation (AIOps for IT operations) that incorporates artificial intelligence into the overall IT operations of the hospital.
The hospital plans to operate the system in the hospital, and plans to promote various AI projects that can be used directly in the medical field, such as predicting patient waiting times and analyzing treatment patterns by tuning the GPT model to the environment in the future.
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This article was translated by Naver AI translator.
