Digital inpatient area intelligent monitoring and nursing management method and system

By obtaining target monitoring items for patients, counting multiple correlation paths for changes in physical signs and parameters, training prediction models, predicting and judging the comprehensive amplitude of parameter changes, the problem of difficulty in targeted care in the existing technology is solved, and efficient and accurate nursing management is achieved.

CN120345858AInactive Publication Date: 2025-07-22MIANYANG THIRD PEOPLES HOSPITAL
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Patent Information

Application Number
CN202510414371.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-03
Publication Date
2025-07-22
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the prior art, it is difficult to achieve targeted nursing measures in a comprehensive analysis of physical sign indicators of patients, resulting in inefficient nursing work.

Method used

By obtaining target monitoring items, counting multiple correlation paths for sign parameter changes, training sign change prediction models, predicting and judging the comprehensive amplitude of parameter changes, and carrying out targeted care.

Benefits of technology

It improves the efficiency of nursing work, reduces the misjudgment rate of monitoring results, and achieves timely and targeted care for patients.

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Abstract

The invention discloses a digital inpatient area intelligent monitoring and nursing management method and system, and relates to the technical field of monitoring and nursing, and the method comprises the steps: predicting first, second and third new sign prediction information according to an obtained target monitoring item, correspondingly carrying out the statistics of first, second and third new change comprehensive amplitudes, and carrying out the calculation of the first, second and third new sign prediction information; performing zero, rising and falling state judgment on the first, second and third new change comprehensive amplitudes, and performing association path integration on several kinds of abnormal new sign prediction information in a first sign monitoring abnormal result according to the first sign monitoring abnormal result to obtain first pre-processed sign information 1; and performing statistics on the preprocessing change comprehensive amplitude and the reference change comprehensive amplitude, judging whether the preprocessing change comprehensive amplitude and the reference change comprehensive amplitude are the same or not so as to perform targeted nursing on the target patient, and outputting a sign monitoring nursing management result. According to the digital inpatient area intelligent monitoring nursing management method and system, the nursing work efficiency can be improved.
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