A smart medical care system

The metadata-driven intelligent nursing system solves the problem of low management efficiency in existing medical document systems, realizes efficient management and quality supervision of nursing documents, and improves the efficiency and quality of nursing work.

CN114974493BActive Publication Date: 2026-05-26浙江谨云科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
浙江谨云科技有限公司
Filing Date
2022-06-07
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing medical record management systems are inefficient, unable to achieve data sharing and unified standards, resulting in low nursing efficiency and difficulty in monitoring nursing quality.

Method used

The metadata-driven smart nursing system includes a document management subsystem and a nursing management subsystem. It generates standardized nursing documents through a dictionary and document editor, and executes nursing plans using mobile terminal devices and nursing aids. It also achieves nursing quality management by combining force analysis and vital sign monitoring.

Benefits of technology

It enables efficient management and editing of nursing documents, improves nursing work efficiency, ensures nursing quality, and monitors and evaluates the nursing process through the quality management module.

✦ Generated by Eureka AI based on patent content.

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Abstract

This patent application relates to the field of smart healthcare and discloses a smart nursing system, including a smart nursing platform. The smart nursing platform includes a document management subsystem and a nursing management subsystem. The document management subsystem is equipped with a dictionary, a document editor, and a file database. The dictionary is configured with data encoding. The document editor is used to analyze and process pre-input patient information and medical order information to generate data objects. It retrieves the data encoding corresponding to the data objects from the dictionary to generate metadata. Based on the metadata, it formulates nursing documents that conform to hospital usage habits and document writing standards and stores them in the file database. The nursing documents are configured with nursing plans, which include nursing categories. Each nursing category is configured with a nursing strategy. Nursing staff can obtain nursing documents from the smart nursing platform to execute nursing plans.
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