Design and application of an artificial intelligence-based venous thromboembolism prophylaxis system in orthopedics
Objective To improve the efficiency and accuracy of venous thromboembolism(VTE)assessment and reduce the occur-rence of VTE in orthopedic patients.Methods A total of 2,586 orthopedic patients were divided into a control group of 1,023 and an observation group of 1,563 chronologically.The control group was used paper-form assessment for possible risk of VTE and the results were manually input into the Hospital Information System,while the observation group received VTE risk management by using a self-designed AI-based system.Results The performance of the system used in the observation group was more efficient and accurate compared with earlier methods in the control group(both P＜0.05).The observation group had significantly higher satis-faction of medical staff,whereas significantly lower incidence of VTE compared with the control group(both P＜0.05).Conclusion The application of AI-based system for VTE prophylaxis in orthopedic patients can effectively improve the efficiency and accuracy of VTE assessment,reduce the occurrence of VTE,and enhance job satisfaction of medical staff.
inpatientorthopedicssurgeryvenous thromboembolismartificial intelligence technologyprophylaxis sys-temprophylaxis care
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