To further enhance the overall service quality of China’s hospitals and improve the trust of the majority of patients in hospitals,this paper takes intelligent hospital management as the object of study,analyzes the ...To further enhance the overall service quality of China’s hospitals and improve the trust of the majority of patients in hospitals,this paper takes intelligent hospital management as the object of study,analyzes the importance of electronic information engineering technology applied in hospital management,and discusses the specific application methods of electronic information engineering in hospital management.This aims the existing problems in the current hospital management,such as insufficient degree of informatization,data sharing difficulties,lack of professionals,etc.Corresponding improvement measures are proposed,including strengthening the construction of informatization,promoting data sharing,and cultivating professionals.It is hoped that this study will enable the majority of hospital managers to make better use of electronic information engineering technology to effectively solve the current problems faced by hospitals and to continuously improve the comprehensive competitiveness of China’s hospitals.展开更多
Clinical data have strong features of complexity and multi-disciplinarity. Clinical data are generated both from the documentation of physicians＇ interactions with the patient and by diagnostic systems. During the ca...Clinical data have strong features of complexity and multi-disciplinarity. Clinical data are generated both from the documentation of physicians＇ interactions with the patient and by diagnostic systems. During the care process, a number of different actors and roles （physicians, specialists, nurses, etc.） have the need to access patient data and document clinical activities in different moments and settings. Thus, data sharing and flexible aggregation based on different users＇ needs have become more and more important for supporting continuity of care at home, at hospitals, at outpatient clinics. In this paper, the authors identify and describe needs and challenges for patient data management at provider level and regional- （or inter-organizational-） level, because nowadays sharing patient data is needed to improve continuity and quality of care. For each level, the authors describe state-of-the-art Information and Communication Technology solutions to collect, manage, aggregate and share patient data. For each level some examples of best practices and solution scenarios being implemented in the Italian Healthcare setting are described as well.展开更多
目的探讨智能药车(intelligent medicine cabinet,IMC)的使用是否可以促进手术室精麻药品的规范化管理。方法以复旦大学附属中山医院使用传统药箱(traditional medicine box,TMB)的手术室和使用“中山模式”IMC的手术室各12间为研究对象...目的探讨智能药车(intelligent medicine cabinet,IMC)的使用是否可以促进手术室精麻药品的规范化管理。方法以复旦大学附属中山医院使用传统药箱(traditional medicine box,TMB)的手术室和使用“中山模式”IMC的手术室各12间为研究对象,分为TMB组和IMC组。比较两组在2021年4月的22个工作日中精麻药品的差错情况和麻醉医师的工作效率及满意度。结果TMB组共发生精麻药品差错18次,IMC组因硬件故障导致了1次差错,TMB组发生差错的中位数为1(1,2)次,显著高于IMC组的0(0,0)次(W=140.5,P<0.001)。TMB组精麻药品差错总量为50支,差错率为0.52%;IMC组精麻药品差错总量为1支,精麻药品差错率为0.01%,显著低于TMB组(χ^(2)=40.378,P<0.001)。TMB组和IMC组平均每台手术的计费时长分别为(255.26±14.62)s和(76.45±3.87)s,差异有统计学意义(t=40.947,P<0.001)。TMB组和IMC组平均用户费力度为(4.17±0.17)分和(6.40±0.26)分,差异有统计学意义(t=24.48,P<0.001)。TMB组总体用户满意度指数为66.67%,净推荐值为-16.67%;IMC组这两项均为100%。结论在“中山模式”IMC辅助的精麻药品闭环管理下,药品差错次数和差错率、麻醉医师工作效率和满意度均明显优于TMB。使用IMC可以促进手术室精麻药品的管理。展开更多
文摘To further enhance the overall service quality of China’s hospitals and improve the trust of the majority of patients in hospitals,this paper takes intelligent hospital management as the object of study,analyzes the importance of electronic information engineering technology applied in hospital management,and discusses the specific application methods of electronic information engineering in hospital management.This aims the existing problems in the current hospital management,such as insufficient degree of informatization,data sharing difficulties,lack of professionals,etc.Corresponding improvement measures are proposed,including strengthening the construction of informatization,promoting data sharing,and cultivating professionals.It is hoped that this study will enable the majority of hospital managers to make better use of electronic information engineering technology to effectively solve the current problems faced by hospitals and to continuously improve the comprehensive competitiveness of China’s hospitals.
文摘Clinical data have strong features of complexity and multi-disciplinarity. Clinical data are generated both from the documentation of physicians＇ interactions with the patient and by diagnostic systems. During the care process, a number of different actors and roles （physicians, specialists, nurses, etc.） have the need to access patient data and document clinical activities in different moments and settings. Thus, data sharing and flexible aggregation based on different users＇ needs have become more and more important for supporting continuity of care at home, at hospitals, at outpatient clinics. In this paper, the authors identify and describe needs and challenges for patient data management at provider level and regional- （or inter-organizational-） level, because nowadays sharing patient data is needed to improve continuity and quality of care. For each level, the authors describe state-of-the-art Information and Communication Technology solutions to collect, manage, aggregate and share patient data. For each level some examples of best practices and solution scenarios being implemented in the Italian Healthcare setting are described as well.
文摘目的探讨智能药车(intelligent medicine cabinet,IMC)的使用是否可以促进手术室精麻药品的规范化管理。方法以复旦大学附属中山医院使用传统药箱(traditional medicine box,TMB)的手术室和使用“中山模式”IMC的手术室各12间为研究对象,分为TMB组和IMC组。比较两组在2021年4月的22个工作日中精麻药品的差错情况和麻醉医师的工作效率及满意度。结果TMB组共发生精麻药品差错18次,IMC组因硬件故障导致了1次差错,TMB组发生差错的中位数为1(1,2)次,显著高于IMC组的0(0,0)次(W=140.5,P<0.001)。TMB组精麻药品差错总量为50支,差错率为0.52%;IMC组精麻药品差错总量为1支,精麻药品差错率为0.01%,显著低于TMB组(χ^(2)=40.378,P<0.001)。TMB组和IMC组平均每台手术的计费时长分别为(255.26±14.62)s和(76.45±3.87)s,差异有统计学意义(t=40.947,P<0.001)。TMB组和IMC组平均用户费力度为(4.17±0.17)分和(6.40±0.26)分,差异有统计学意义(t=24.48,P<0.001)。TMB组总体用户满意度指数为66.67%,净推荐值为-16.67%;IMC组这两项均为100%。结论在“中山模式”IMC辅助的精麻药品闭环管理下,药品差错次数和差错率、麻醉医师工作效率和满意度均明显优于TMB。使用IMC可以促进手术室精麻药品的管理。
