Résumé
Objective To develop an intelligent evaluation and automatic warning system to improve the diagnosis rate of venous thrombo embolism (VTE) and strengthen its standardized treatment.Methods A clinical data center was constructed by using data extraction,conversion and loading,which involved in military medical system,clinical laboratory system,electronic medical record system and surgical anesthesia system.The warning model was established with international standards,clinician experiences,warning parameters selection by statistical method and weighted assignment.Results The system could predict the risk of the hospitalized patient for VTE rapidly and inform the doctor in time.Conclusion The system facilitates the doctor to prevent and control VTE,and thus is worthy promoting practically.