The system supports automatically pushing the corresponding VTE risk assessment scale to the medical staff for assessment after the patient is admitted to hospital, before and after transfer, before and after operation, before discharge, and when the condition changes.

It supports the AI-assisted automatic assessment of VTE risks according to the patient's diagnosis history, medication, examination inspection, and other data.

Comprehensively recommend the corresponding basic preventive measures, physical preventive measures, drug preventive measures or combined preventive measures for medical staff, and support contraindication warnings in all kinds of preventive measures according to the VTE Prevention and Treatment Guideline and the results of VTE risk assessment and bleeding risk assessment.

Quality control indicators include risk assessment rate, number of uncompleted assessments, bleeding assessment rate, the implementation rate of preventive measures, the implementation rate of drug prevention, implementation rate of mechanical prevention, incidence and mortality of DVT in hospital, incidence and mortality of PE in hospital, etc. It supports querying by department and time and displays the risk assessment quality, bleeding assessment quality, preventive measure quality, relevant VTE occurrence rate, and other quality control indicators and their details required by VTE prevention and control management specifications in the form of a chart, which can be downloaded.

It supports the 90-day automatic AI telephone robot follow-up visit of patients diagnosed with VTE, automatically collects patients' out-of-hospital VTE symptoms, coagulation function, and anticoagulant drug use through man-machine conversation cares for patients' rehabilitation outside the hospital and improves VTE patients' satisfaction with medical treatment.

The system supports the extraction rules of scientific research indicators based on VTE, and automatically generates special disease samples and scientific research indicators in the background for VTE research.