Committed to the great integration of intelligent voice and AI technology with the medical industry.
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.
VTE Intelligent Prevention and Treatment Management System, seamlessly connected to hospital business system, relies on natural language understanding technology, combined with VTE disease knowledge graph to build VTE intelligent assessment model for automatically identifying thrombus risk factors of inpatients, and realizing "AI+VTE" intelligent assessment under the collaborative care mode. With an AI assessment level consistency rate of 92%, the system can assist doctors and nurses in carrying out VTE early intervention timely and effectively.(Quoted from internal test data)
For medical staff,Timely detection of VTE populations with medium-to-high risks through AI and a smart evaluation model can reduce the workload of evaluation of medical staff, shorten the evaluation time, and improve the efficiency of VTE evaluation. With accurate control, it quickly reminds medical staff to improve, strengthen, and effectively conduct preventive actions, assuring the life safety of patients.
For managers,The system automatically conducts clinical evaluation and prevention data collection, which facilitates managers to find loopholes in the prevention and treatment process, realize the closed loop of scientific management, and improve the efficiency of VTE prevention and treatment management.
For hospitals, the system functions fully cover all assessment points and functional requirements in the corresponding policy documents. Through the project construction, it can assist the hospital to pass the VTE Prevention and Treatment Center certification.
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