Intelligent reminding device based on use of inpatient

By designing an intelligent reminder device, combining the patient's medical records and life data, calculating the risk level of stress injury, and providing personalized nursing guidance and early warning, the problem of difficulty in assessing and treating the patient's cardiovascular situation in the prior art is solved, and more accurate risk assessment and optimized nursing management are achieved.

CN120183634AInactive Publication Date: 2025-06-20CHINA JAPAN FRIENDSHIP HOSPITAL
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Patent Information

Application Number
CN202510255010.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-05
Publication Date
2025-06-20
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The prior art is difficult to evaluate and perform corresponding treatment based on the patient's cardiovascular condition.

Method used

An intelligent reminder device was designed to integrate medical record data and the patient's bedtime, age and basic condition through patient risk analysis module, patient screening module, nursing early warning module, injury analysis module, action guidance module and statistical analysis module, integrate medical record data and patient bedtime, age and basic condition, calculate the risk level of stress injury, and provide personalized nursing guidance and early warning.

Benefits of technology

It significantly improves the accurate assessment of patient risk status, ensures priority allocation of medical resources, reduces manual intervention, improves the speed of information transmission, provides more accurate and timely injury assessment and nursing action guidance, optimizes nursing workflow, and enhances the overall effectiveness and safety of medical services.

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Abstract

The invention relates to the technical field of data management, in particular to an intelligent reminding device based on inpatient use, which comprises a patient risk analysis module, a patient screening module, a nursing early warning module, an injury analysis module, an action guidance module and a statistical analysis module. According to the method and the system, the stress injury risk level of each patient is calculated by integrating the medical record data with the lying time, age and basic illness state of the patient, so that the accurate assessment of the risk state of the patient is remarkably improved, the demand of manual intervention is reduced, the information transmission speed is also accelerated, and the risk assessment efficiency is improved. According to the method and the system, nursing personnel can obtain key early warning information in real time, take corresponding prevention measures and collect and identify injury photos to further make injury degree assessment more accurate and timely, provided nursing action guidance is formulated based on actual injury conditions, the nursing working process is optimized, and the overall efficiency and safety of medical services are enhanced.
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