摘要
目的:探讨基于移动端多方位手术预约系统、人脸识别、衣物内置芯片射频和动态条形码识别为核心的多模态信息识别技术管理模式在医院手术室管理中的应用效果。方法:搜集医院手术室行择期预约手术的51251例患者临床信息,按照随机数表法将在不同手术间(D01~D08和M01~M02)治疗的患者信息分别纳入D手术室组(41526例,简称D组)和M手术室组(9725例,简称M组)。D组患者采用传统手术管理模式,参与的手术医生和护理人员40名;M组患者采用多模态信息识别技术的手术管理模式,参与的手术医生和护理人员46名。比较两组术前准备流程用时、手术物品周转率、手术耗材配置率、术中标本转运效率和医护人员对手术管理的满意度。结果:M组术前准备和术前核对时长分别为(22.43±5.24)min和(11.14±4.23)min,均少于D组,其差异有统计学意义(t=1.958,t=2.068;P<0.05);M组手术金属器械、高价值仪器和抢救设备周转率分别为(89.14±15.24)%、(38.52±10.00)%和(11.24±5.11)%,均高于D组,其差异有统计学意义(t=11.254,t=25.061,t=24.197;P<0.05);M组一次性手套、鞋套和手术衣配置率分别为(85.49±11.25)%、(92.14±6.24)%和(62.19±11.84)%,均高于D组,其差异有统计学意义(t=4.445,t=1.582,t=7.777;P<0.05);M组检验标本集中配送间隔、每30 min内手术部送检标本均数和平均配送时长分别为(40.25±8.88)min、(31.47±10.46)例和(22.14±6.24)min,均少于D组,其差异有统计学意义(t=6.234,t=1.305,t=2.177;P<0.05);M组的手术室医生和护理人员对手术室管理的满意度分别为(79.74±15.21)%和(89.35±15.55)%,均高于D组,其差异有统计学意义(t=1.801,t=4.218;P<0.05)。结论:多模态信息识别技术管理模式的应用能缩短术前准备用时,提高手术物品周转率和物品配置率,缩短标本配送间隔,提高医护人员满意度。
Objective:To explore the application effect of management mode based on multimodal information identification technology in hospital operating room management.Methods:A retrospective cross-sectional study was used to collect all clinical information of 51,251 patients who underwent elective scheduled surgery in hospital operating rooms.According to the random number table method,41,526 patients who were assigned to D01-D08 operating rooms were included in Group D and the traditional operation management mode was adopted,9,725 patients who were assigned to M01-M02 operating rooms were included in Group M,and the management mode of multi-modal information identification technology based on mobile multi-position surgery appointment system,face recognition,clothing builtin chip radio frequency and dynamic bar code identification as the core was adopted.The time spent on preoperative preparation process,the turnover rate of surgical items,the allocation rate of surgical consumables,the transfer efficiency of intraoperative specimens,and the satisfaction of medical care were compared between the two groups.Results:The time for preoperative preparation and check in Group M were(22.43±5.24)minutes and(11.14±4.23)minutes,respectively,which were shorter than those in Group D,and the difference was statistically significant(t=1.958,t=2.068,P<0.05).The turnover rates of surgical metal instruments,high-value instruments,and rescue equipment in Group M were(89.14±15.24)%,(38.52±10.00)%,and(11.24±5.11)%,respectively,which were higher than those in Group D,the difference was statistically significant(t=11.254,t=25.061,t=24.197,P<0.05).The allocation rates of disposable gloves,shoe covers,and surgical gowns in Group M were(85.49±11.25)%,(92.14±6.24)%,and(62.19±11.84)%,respectively,which were higher than those in Group D,the difference was statistically significant(t=4.445,t=1.582,t=7.777;P<0.05).The interval of centralized delivery of the test specimen,the average number and average time to deliver the test specimen of the operation department in every 30 minutes of Group M were(40.25±8.88)minutes,(31.47±10.46)cases,and(22.14±6.24)minutes,respectively,which were lower than those in Group D,the difference was statistically significant(t=6.234,t=1.305,t=2.177,P<0.05).The satisfaction rates of surgeons and nursing staff involved in Group M were(79.74±15.21)%and(89.35±15.55)%,respectively,which were higher than those in Group D,the difference was statistically significant(t=1.801,t=4.218;P<0.05).Conclusion:The management mode of multimodal information identification technology can shorten the preoperative preparation time,improve the turnover rate and allocation rate of surgical items,shorten the interval of specimen delivery,and improve the satisfaction of medical staff.
作者
张兴靖
罗叶辉
徐云华
金永春
ZHANG Xing-jing;LUO Ye-hui;XU Yun-hua(Department of Logistical Support,Shanghai Chest Hospital(Shanghai Chest Hospital Shanghai Jiao Tong University),Shanghai,200030,China;不详)
出处
《中国医学装备》
2023年第6期108-111,共4页
China Medical Equipment
关键词
多模态信息识别
手术部
管理模式
应用效果
Multimodal information identification
Department of surgery
Management mode
Application effect
