Nursing shift handover system based on isomeric data fusion and large language model

The nursing handover system, which integrates homogeneous and heterogeneous data and a large language model, solves the problems of information omission and time consumption in nursing handover, achieves unified data alignment and efficient screening of key events, and generates clear nursing handover reports.

CN121743482BActive Publication Date: 2026-06-09RENJI HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
RENJI HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
Filing Date
2026-02-28
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

In current nursing handover procedures, nurses need to manually retrieve and verify information across multiple systems, which leads to information omissions, high error rates, long processing times, and inconsistent data structures, lacking knowledge-level integration, semantic alignment, and closed-loop quality control.

Method used

A nursing handover system based on homogeneous heterogeneous data fusion and a large language model is adopted. The data fusion module performs data alignment and semantic alignment, the event sequence modeling module constructs the logical association of clinical events, the key event screening module calculates scores and generates nursing handover reports, and the large language model generates global summaries and detailed handover information.

Benefits of technology

It enables a clear presentation of nursing handover information, reduces information omissions and redundancy, improves efficiency, provides a unified panoramic view of patients and focuses on the handover of key events, and supports nursing staff from different shifts to quickly understand the patient's condition.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of software and discloses a nursing shift handover system based on homomeric data fusion and a large language model, which comprises a shift handover generation module, a report synthesis module and the like. The shift handover generation module comprises a first generation unit and a second generation unit. The first generation unit is used for calling a large language model to generate global summary information of nursing shift handover based on all clinical events. The second generation unit is used for calling a large language model to generate corresponding detailed handover information based on only the original data of the key events. The report synthesis module is used for integrating the global summary information and the detailed handover information according to a preset structure to generate a nursing shift handover report. The application constructs a panoramic data view of a patient based on a unified time axis, so that structured data and unstructured data originally dispersed in different systems can be organized and called in the same semantic space, and a consistent data basis is provided for subsequent data analysis and processing.
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