An intelligent oxygen inhalation management system based on oxygen flow sensing and automatic charging

CN122245657APending Publication Date: 2026-06-19TAIZHOU ENZE MEDICAL CENT GROUP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TAIZHOU ENZE MEDICAL CENT GROUP
Filing Date
2026-02-02
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

The existing oxygen management and billing methods are cumbersome, prone to errors, increase nursing burden, lack real-time and automation, and have difficulties in cross-department billing coordination. In addition, the existing equipment requires major modifications, is costly and risky, and is not deeply integrated with the hospital information system.

Method used

A non-invasive oxygen flow sensing device is used. By installing a bubble sound signal collector on the humidification bottle, combined with a wireless network and a back-end server, a deep learning algorithm is used to realize real-time monitoring of oxygen flow and automatic cost calculation. It is compatible with existing equipment, reduces costs, and can be integrated with hospital information systems.

Benefits of technology

It enables fully automated time tracking and cost calculation for oxygen therapy, reducing nurses' workload, minimizing human error, improving billing accuracy and hospital operational efficiency, and supporting cross-departmental billing coordination.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides an intelligent oxygen administration management system based on oxygen flow sensing and automatic billing, including an oxygen flow sensing device, a router, and a backend server. The oxygen flow sensing device is installed on the humidification bottle of the oxygen inhaler and connected to the router via a wireless network. It is used to collect the sound signal of bubbles in the humidification bottle and send the bubble sound signal as front-end sensing data to the router. The router is connected to the backend server via a network and is used to aggregate the front-end sensing data uploaded by different oxygen flow sensing devices and send it to the backend server. The backend server is used to analyze the front-end sensing data using a deep learning algorithm to obtain oxygen flow data, calculate the oxygen administration fee based on the oxygen flow data, and generate and output the oxygen administration billing result by combining the patient information. This invention can realize real-time monitoring of the oxygen administration process, automatic duration statistics, and automatic cost calculation.
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