Call distribution method and system based on nursing needs

By monitoring bedside vital signs, constructing multidimensional abnormal trigger identifiers and performing Boolean logic analysis, emergency codes for bedside calls are generated. Combined with task execution time and load capacity assessment, nursing resource allocation is optimized, solving the problems of lagging clinical risk identification and uneven resource allocation in traditional nursing call distribution methods, and improving the accuracy and real-time response of automated collaboration in nursing services.

CN122157447BActive Publication Date: 2026-07-21中国人民解放军海军青岛特勤疗养中心
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
中国人民解放军海军青岛特勤疗养中心
Filing Date
2026-04-30
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Traditional nursing call distribution methods rely on mechanical pressure to trigger a single call signal, which leads to a lag in the perception of patients' vital signs, makes it impossible to capture potential clinical risk indicators in real time, and makes it difficult to prioritize urgent critical care requests in multi-bed concurrent call scenarios. The uneven allocation of manual resources results in low response efficiency in the ward.

Method used

By monitoring bedside vital signs, constructing multidimensional abnormal trigger identifiers, generating emergency call codes for hospital beds through Boolean logic analysis, dynamically optimizing nursing resource allocation by combining task execution time and load capacity assessment, and generating path response paths using spatial mapping nodes, the global optimal distribution of nursing resources is achieved.

Benefits of technology

It has achieved automated identification of clinical risk characteristics, solved the problems of strong subjectivity and ambiguous response priorities in manual assessment, effectively shortened the waiting time for critical care calls, reduced the workload of staff, and improved the accuracy and real-time response of automated collaboration in ward nursing service processes.

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Abstract

The present application relates to the technical field of nursing information management, in particular to a call distribution method and system based on nursing needs, comprising the following steps: collecting bedside heart rate, blood oxygen and blood pressure measurement values and constructing an abnormal trigger identifier based on a threshold value, calling a Boolean logic function to generate an emergency code for a patient bed call, calculating the remaining time of a single item based on the task start time to obtain a task load value, generating a response candidate path based on the spatial mapping node and the topological connection relationship, and performing multi-dimensional weighted comparison to generate a nursing call task distribution sequence. In the present application, by real-time monitoring of abnormal signs and establishing a rigorous emergency classification, automatic classification of call requests is realized, dynamic assessment of resource load and passing cost weight is performed, and multi-dimensional weighted logic is used to optimize the task distribution sequence, solving the problems of information perception lag, unreasonable response sequence and resource scheduling imbalance in the traditional mode, and achieving the improvement of nursing response speed, utilization rate and accuracy in the ward.
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