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.