An intelligent evaluation system for medical consumables fusing evidence-based medicine and personalized analysis

By integrating evidence-based medicine and personalized analysis, the intelligent evaluation system for medical consumables solves the problem that existing medical consumable evaluation systems are unable to reflect differences between patients and surgical scenarios. It achieves scientific, interpretable, and auditable selection of consumables, improves the objectivity and comparability of evaluation results, and supports collaborative decision-making between doctors and patients.

CN121601276BActive Publication Date: 2026-05-01SICHUAN ACADEMY OF MEDICAL SCI SICHUAN PROVINCIAL PEOPLES HOSPITAL
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Patent Information

Application Number
CN202610128974.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-01-30
Publication Date
2026-05-01
Estimated Expiration
2046-01-30

AI Technical Summary

Technical Problem

Existing medical consumables evaluation systems fail to reflect patient differences and surgical scenario differences, and lack the systematic integration of real-world data from within the hospital, external evidence-based data, patient characteristics, surgical scenario parameters, and patient wishes, resulting in evaluation results that lack scientific rigor, interpretability, and auditability.

Method used

A medical consumables intelligent evaluation system integrating evidence-based medicine and personalized analysis was designed, including a data fusion module, an evidence-based management module, a personalized analysis module, and a closed-loop feedback traceability module. Through multi-source data collection, standardized processing, evidence quantification and rating, patient-surgical scenario-consumables matching model, and visual interaction, the system achieves the scientific, interpretable, and auditable nature of consumables selection.

Benefits of technology

It has improved the scientific rigor and reliability of medical consumable selection, realized the shift from group average conclusions to individualized patient decisions, enhanced the objectivity, comparability, and traceability of evaluation results, supported collaborative decision-making between doctors and patients, and avoided medical disputes.

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Abstract

The present application relates to the field of medical information technology, in particular to a medical consumable intelligent evaluation system fusing evidence-based medicine and personalized analysis. The system comprises a data fusion module, an evidence-based evidence management module, a personalized analysis module, a decision interaction module and a closed-loop feedback tracing module. The data fusion module integrates internal and external data of the hospital to generate a structured data set; the evidence-based evidence management module quantitatively grades the evidence and constructs a dynamic evidence database; the personalized analysis module combines patient characteristics and preferences, and outputs individualized multi-dimensional analysis results through a patient-surgery scene-consumable matching model; the decision interaction module generates structured options based on the analysis results, supports doctor-patient collaborative decision-making and records the process; the closed-loop feedback tracing module collects real-world feedback data for calibrating and iteratively optimizing the matching model. The present application realizes intelligent, reasonable and personalized evaluation of medical consumables, and improves the scientificity, interpretability and auditability of the evaluation.
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