Angitis child care perception and personalized nursing plan generation method and system

By generating a unified needs profile for both the child and caregiver through multi-task coding networks and cross-modal attention fusion technology, and combining Swanson care theory, the urgency weights of care dimensions are adaptively calculated to dynamically match personalized care plans. This solves the problems of insufficient accuracy and feasibility of existing pediatric vasculitis care plans, and achieves full-cycle care optimization.

CN122417261APending Publication Date: 2026-07-17AFFILIATED CHILDRENS HOSPITAL OF CAPITAL INST OF PEDIATRICS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-24
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, pediatric vasculitis care protocols lack awareness of the care needs of both the child and the caregiver, cannot effectively integrate multimodal data, and lack dynamic adaptation capabilities, resulting in insufficient precision and feasibility of nursing interventions.

Method used

By employing multi-task coding networks and cross-modal attention fusion technology, a unified needs profile of the child and caregiver is generated. Combined with Swanson care theory, the urgency weights of care dimensions are adaptively calculated to dynamically match personalized care plans and construct a full-cycle closed-loop optimization mechanism.

Benefits of technology

It has enabled precise quantitative perception and dynamic adaptation of the care needs of patients and caregivers, improved the accuracy and humanistic nature of nursing plans, established a closed-loop optimization mechanism for the entire nursing cycle, and enhanced the professionalism and humanistic effect of pediatric vasculitis nursing.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了血管炎患儿关怀感知与个性化护理方案生成方法及系统,本发明同步采集血管炎患儿及对应照护者的五路关联数据源,获取多维度原始关怀需求数据;通过预训练多任务编码网络完成多模态数据特征提取与融合,生成患儿与照护者的统一需求画像向量;结合患儿病程阶段与画像向量,自适应计算Swanson关怀理论五维度紧迫度权重分布,从预构建的循证关怀干预措施库匹配条目,生成结构化个性化护理方案,并构建全周期闭环优化机制。本发明实现双主体关怀需求的精准量化感知,兼顾临床循证规范与人文关怀,有效提升了儿科血管炎护理的精准度与临床效果。
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