Risk control path of explainable artificial intelligent analysis algorithm for orthopedic consumables in surgery room
10.3969/j.issn.1672-8270.2025.08.026
- VernacularTitle:可解释智能分析算法的手术室骨科耗材风险控制路径研究
- Author:
Hanqing ZHAO
1
;
Yang LIU
;
Jun ZHANG
;
Weiming HE
Author Information
1. 中国人民解放军联勤保障部队第九六○医院医学工程科 济南 250031
- Publication Type:Journal Article
- Keywords:
Medical consumables of orthopedics;
Explainable artificial intelligence;
Risk prediction;
Management decision
- From:
China Medical Equipment
2025;22(8):142-147
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To construct a risk prediction model based on explainable intelligence(XAI)analysis algorithms for orthopedic consumables in surgery room,and improve the management quality of controlling risk for orthopedic consumables in surgery room.Methods:A risk index system for orthopedic consumables in the surgery room was established through researching literature and using Delphi method.The data of supply and use of consumables were collected to construct a risk prediction model.Risk control paths were formulated from three aspects included formulating preoperative plan,intraoperative dynamic allocation,and postoperative tracking and feedback.A total of 6,572 sets of orthopedic consumables that were used in the surgery room of the 960th Hospital of People's Liberation Army Joint Service Support Force from January 2021 to December 2024 were selected.The 3,185 sets of orthopedic consumables that were used during January 2021 and December 2022 were managed by using conventional method of controlling and managing risk.The 3,387 sets of orthopedic consumables that were used during January 2023 and December 2024 were managed by using intelligent method of controlling and managing risk.The early warning capabilities for risk,and the control quality for risk between the two management methods were compared.A self-made satisfaction survey questionnaire was adopted to investigate the satisfaction scores of medical staffs and managers for consumables in the surgery room for the two management methods.Results:The average accuracy rates of using the intelligent method of controlling and managing risk in predicting formulating preoperative plan,intraoperatively dynamic allocation,and postoperative tracking and feedback for early warning events of risk in 157,247 and 57 consumables were respectively 49.68%(78/157),42.11%(104/247)and 56.14%(32/57),all of which were higher than those of conventional method of controlling and managing risk,and the difference were statistically significant(x2=9.475,23.637,13.035,P<0.05).The average reduction rate of risk events of consumables,the average intervention rate of abnormal use of consumables,and the mean value of enhance degree of turnover efficiency of consumables were respectively(6.25±1.59)%,(87.93±4.44)%and(4.78±1.69)%,all of which were higher than those of conventional method of controlling and managing risk,and the differences were statistically significant(t=4.952,6.257,4.660,P<0.05).The scores of medical staffs and managers in surgery room for acceptance of early warning for risk,support of management decision,satisfaction of using consumables,and assessment results of training by adopting intelligent method of controlling and managing risk were all higher than those by adopting conventional method of controlling and managing risk,and the differences were statistically significant(t=3.368,3.082,3.701,4.558,P<0.05).Conclusion:The application of prediction model based on XAI analysis algorithm for risk of orthopedic consumables in the surgery room can improve the accuracy of early warning for risk of orthopedic consumables in the surgery room,and reduce the incidence of risk events,and enhance the ability of emergent response for risk,and improve the quality of clinical services.
