Objective:To construct a competency-oriented assessment index system based on entrustable professional activities (EPAs) for 5-year undergraduate clinical medical students in oncology internship.Methods:From June to December 2023, the scoping review approach and Bicomb 2.0 were used to construct and manage an item pool. The draft of EPAs and competencies was designed based on truncated word frequency. SPSS 25.0 was used for cluster analysis and UCINET 6.0 was used for visualization. Combining the characteristics and consensus of oncology, a multi-center expert group used the KJ method to draft the framework of EPAs and competencies. Subsequently, the expert group defined milestones and mapped the milestones to the framework to establish the assessment system.Results:Based on 26 included studies, a draft was created containing 19 EPA indicators and 72 competency characteristic indicators. After cluster analysis, 13 experts from 6 medical institutions established a framework including 13 EPAs and 10 competencies as well as 50 milestones, leading to the construction of the "EPAs-competencies-milestones" assessment system.Conclusions:The "EPAs-competencies-milestones" assessment system aligns with the trend of reform, demonstrating universality, specificity, and scientificity. It provides a reference for the development and assessment of oncology internship courses in medical universities.

Objective:To construct a competency-oriented assessment index system based on entrustable professional activities (EPAs) for 5-year undergraduate clinical medical students in oncology internship.Methods:From June to December 2023, the scoping review approach and Bicomb 2.0 were used to construct and manage an item pool. The draft of EPAs and competencies was designed based on truncated word frequency. SPSS 25.0 was used for cluster analysis and UCINET 6.0 was used for visualization. Combining the characteristics and consensus of oncology, a multi-center expert group used the KJ method to draft the framework of EPAs and competencies. Subsequently, the expert group defined milestones and mapped the milestones to the framework to establish the assessment system.Results:Based on 26 included studies, a draft was created containing 19 EPA indicators and 72 competency characteristic indicators. After cluster analysis, 13 experts from 6 medical institutions established a framework including 13 EPAs and 10 competencies as well as 50 milestones, leading to the construction of the "EPAs-competencies-milestones" assessment system.Conclusions:The "EPAs-competencies-milestones" assessment system aligns with the trend of reform, demonstrating universality, specificity, and scientificity. It provides a reference for the development and assessment of oncology internship courses in medical universities.

Objective: To explore the application of intelligent real-time monitoring in infusion safety. Methods: Totally 1 200 patients who received intravenous infusion from November 2017 to June 2018 in the Department of gastroenterology were selected as the study subjects. With system sampling method, 600 patients were selected as observation group who using Intelligent infusion system to monitor the infusion process. Another 600 patients were selected as control group without using the system. The current use rate of infusion fluid, the severity of local exudation during intravenous infusion, the blocking rate of intravenous pathway, the number of nurses dealing with dripping empty infusion of two groups and the rate of erroneous running caused by patients′ wrong ringing or false alarm of intelligent infusion system were compared between the two groups. Results: The current use rate of infusion fluid in the observation group was 91.33% (548/600) higher than 80.00% (480/600) in the control group (χ²=31.382, P<0.01). The severity of local exudation of intravenous infusion and the obstruction rate of venous access in the observation group were lower than those in the control group (u=415.500, χ²=20.345, P<0.05 or 0.01). The number of nurses in the observation group was lower than 202 in the control group (χ²=93.574, P<0.01). Conclusion The application of intelligent real-time monitoring in infusion can record the dynamic situation of infusion in real time. It can not only improve the quality management level of infusion, but also be accurate, efficient and safe, which is conductive to the treatment and nursing of patients.