A method and system for medical and nursing information processing based on big data.

By constructing a three-dimensional patient care risk matrix and a two-dimensional care risk image matrix, the problems of multi-dimensional care risk quantification and multi-patient correlation analysis in existing technologies are solved, and accurate risk assessment and resource optimization management are achieved.

CN120260964BActive Publication Date: 2025-10-31THE FIRST AFFILIATED HOSPITAL OF MEDICAL COLLEGE OF XIAN JIAOTONG UNIV +1
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Patent Information

Application Number
CN202510737995.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-04
Publication Date
2025-10-31
Estimated Expiration
2045-06-04

AI Technical Summary

Technical Problem

Existing medical and nursing information processing methods lack the ability to conduct multi-dimensional comprehensive analysis of nursing operation types, medication dosages, and physiological indicators. They are unable to accurately characterize patient risk features in complex nursing scenarios and lack individual dynamic risk management and multi-patient risk correlation analysis, resulting in inaccurate risk assessment and suboptimal resource allocation.

Method used

A three-dimensional patient care risk matrix and a two-dimensional care risk image matrix are constructed. By calculating the multi-dimensional correlation between nursing operation type, medication dosage and physiological indicators, high-risk combinations are identified and comprehensively managed, including constructing a set of high-risk combinations and calculating the risk similarity between patients.

Benefits of technology

It enables multi-dimensional correlation analysis of nursing operation types and medication dosages, accurately quantifies the risk of individual patients, identifies the risk similarity among multiple patients, provides comprehensive management decision support, and improves the accuracy of risk assessment and the efficiency of resource allocation.

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Abstract

This invention discloses a method and system for medical and nursing information processing based on big data, belonging to the field of information processing technology. It retrieves patient nursing operation types, medication dosages, and patient physiological indicator information from the medical and nursing system; constructs a medical and nursing set; builds a three-dimensional patient nursing risk matrix; calculates nursing risk probabilities; calculates patient nursing risk weights; constructs a two-dimensional patient nursing risk image matrix; presets a nursing risk weight threshold; obtains nursing operation types and medication dosages with nursing risk weights greater than or equal to the threshold, and constructs high-risk combinations; constructs a high-risk combination set based on patients; calculates the risk similarity between different patients; presets a risk similarity threshold; and analyzes and performs comprehensive management. This invention can not only accurately quantify the nursing risk of a single patient but also further identify the risk similarity between multiple patients, forming a high-risk combination set and providing comprehensive management decision support.
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