Affiliations: Department of Operating Room, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
Correspondence:
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Corresponding author: Dianye Yao, Department of Operating Room, The First Affiliated Hospital of Sun Yat-sen University, No. 58 Zhongshan Second Road, Guangzhou, Guangdong 510080, China. %****␣thc-30-thc213563_temp.tex␣Line␣100␣**** E-mail: yaody8@mail.sysu.edu.cn.
Note: [1] These authors contributed equally to this work.
Abstract: BACKGROUND: Da Vinci surgery is used extensively, but the high costs of the surgical instrument are a serious clinical and management problem. OBJECTIVE: To reduce the cost of the Da Vinci robotic surgical instrument supply chain. METHODS: Patients were selected from the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. Control group patients underwent Da Vinci robot-assisted surgery between January 2019 and June 2019 (control group). Patients who were operated with the same robot from July 2019 to December 2019 were selected as the experimental group (SCM group). The cost analysis and comparison were carried out to integrate instrument sets, working hours, workforce expenditure, and direct and indirect expenses. RESULTS: Compared with the control group, the number of instrument packages was lower (4.5 ± 1.4 vs. 11.5 ± 1.6, P< 0.001) and the personnel’s awareness of the instruments was higher (92.3 ± 4.2 vs. 83.4 ± 3.7, P< 0.001) in the SCM group. The SCM group showed lower processing time per device (8.1 ± 1.6 vs. 44.2 ± 5.6 min, P< 0.001) and lower costs per surgical instrument (RMB 11.5 ± 2.3 vs. 60.3 ± 10.2, P< 0.001). CONCLUSION: The application of the supply chain management can reduce the costs of robotic surgery, improve work efficiency and decrease the failure rate of instruments.
