Clinical utility of a robotic intelligent endoscope transportation system in the digestive endoscopy center
10.3760/cma.j.cn321463-20250429-00179
- VernacularTitle:机器人智能化内镜转运系统在消化内镜中心的应用效果
- Author:
Jianrong BAI
1
;
Jun CHENG
;
Xin WANG
;
Lina CAO
;
Jingyi LI
;
Dongdong SUN
;
Juan WANG
;
Xiaoli JIA
;
Tao CONG
;
Rui JI
;
Xiuli ZUO
Author Information
1. 山东大学齐鲁医院消化内镜中心，济南 250012
- Publication Type:Journal Article
- Keywords:
Intelligentization;
Endoscopic transport;
Robots;
Efficiency;
Cost
- From:
Chinese Journal of Digestive Endoscopy
2025;42(8):628-633
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the clinical utility of an intelligent endoscope transportation system in the digestive endoscopy center.Methods:A parallel-group controlled trial was conducted at Digestive Endoscopy Center of Qilu Hospital of Shandong University from June 1st to December 31st 2024, comparing robotic intelligent endoscope transport (experimental group) versus manual transport (control group). Performance metrics, including response time, transportation speed, labor efficiency, contamination prevention, closed-loop traceability, and nursing staff satisfaction, were statistically analyzed. Full-time equivalent (FTE) was introduced to quantify the operational efficiency of the experimental group.Results:The study included a total of 60 206 instances of intelligent endoscope transportation and 60 485 instances of manual transportation data. The robotic group demonstrated significantly shorter response times versus manual group for initial dispatch (51.08±14.97 seconds VS 54.44±13.61 seconds, t=35.8, P<0.001) and recovery response time (32.52±11.26 seconds VS 40.20±11.40 seconds, t=103.93, P<0.001). During the 148 days operational period, the success rate was 99.83% (60 104/60 206) and the failure rate was 0.17% (102/60 206) for robotic transports. Primary failure causes were wireless disconnection, pathfinding errors, and mechanical faults, averaging 1.05 malfunctions/month with no adverse events. The success and failure rate was 99.26% (60 043/60 485) and 0.74% (442/60 485) respectively for manual transports. Staff satisfaction was significantly higher for robotic transport in endoscopic transportation (4.65±0.55 scores VS 3.97±0.98 scores, t=96.5, P<0.001) and delivery process (4.71±0.59 scores VS 3.90±1.04 scores, t=210.3, P<0.001). and workload intensity was significantly lower (4.06±0.77 scores VS 4.48±0.63 scores, t=59.9, P=0.025). The system reduced labor requirements by 3.68 FTE, yielding annual savings of ￥657 000. Conclusion:The robotic intelligent endoscope transport system improves work efficiency, reduces nursing labor costs and physical workload, enhances job experience and satisfaction, and enables full-process smart traceability, providing a validated solution for endoscopy center logistics.
