Physiological measures indexed by fixation frequency and total fixation time,task performance based on n-back accuracy,subjective assessment based on NASA Task Load Index(NASA-TLX) were used to measure the Mental Work...Physiological measures indexed by fixation frequency and total fixation time,task performance based on n-back accuracy,subjective assessment based on NASA Task Load Index(NASA-TLX) were used to measure the Mental Workload(MW) in different levels which were induced by vision-related flight task combined with auditory cognitive load. 16 healthy novice pilots were recruited to complete a monitoring task based on Head-Up Display(HUD) and an auditory n-back task which was used to manipulate the Mental Workload Level(MWL) in flight simulation environment. In our experiment,fixation frequency,average saccade time,blink rate and average pupil diameter were sensitive to MW. What's more,a comprehensive assessment method of pilot mental workload based on various measures was advocated. At last,a Fisher projection function based on the Fisher discrimination method and a three-level discriminate model established by the Bayes discrimination method were built up,the original validation and cross-validation methods of both models were 97. 92% and 95. 83% respectively,which could discriminate various Mental Workload Levels(MWLs) ideally.展开更多
We consider a variant of M/M/1 where customers arrive singly or in pairs. Each single and one member of each pair is called primary;the other member of each pair is called secondary. Each primary joins the queue upon ...We consider a variant of M/M/1 where customers arrive singly or in pairs. Each single and one member of each pair is called primary;the other member of each pair is called secondary. Each primary joins the queue upon arrival. Each secondary is delayed in a separate area, and joins the queue when “pushed” by the next arriving primary. Thus each secondary joins the queue followed immediately by the next primary. This arrival/delay mechanism appears to be new in queueing theory. Our goal is to obtain the steady-state probability density function (pdf) of the workload, and related quantities of interest. We utilize a typical sample path of the workload process as a physical guide, and simple level crossing theorems, to derive model equations for the steady-state pdf. A potential application is to the processing of electronic signals with error free components and components that require later confirmation before joining the queue. The confirmation is the arrival of the next signal.展开更多
目的基于医院信息系统(hospital information system,HIS)中的数据构建儿童口腔门诊护理项目框架表。方法于2023年8月—2024年5月开展文献回顾并提取HIS系统中的相关项目和其它日常工作条目,形成初步条目框架列表。应用德尔菲专家函询法...目的基于医院信息系统(hospital information system,HIS)中的数据构建儿童口腔门诊护理项目框架表。方法于2023年8月—2024年5月开展文献回顾并提取HIS系统中的相关项目和其它日常工作条目,形成初步条目框架列表。应用德尔菲专家函询法,邀请全国22位专家进行2轮函询,并根据专家意见进行修订和完善,形成终版项目框架表。结果2轮函询中专家的积极系数均为100.0%,专家的权威系数分别为0.935、0.940,专家意见协调程度的Kendall′s W为0.200(P<0.01)。基于专家函询结果最终形成的儿童口腔门诊护理项目框架表,包含配合医生操作项目、直接工作项目和个人活动项目3个维度共计61个条目。结论本研究构建的儿童口腔门诊护理项目框架表具有较好的可靠性和科学性,可作为统计儿童口腔门诊护理工作量的科学工具,为临床护理管理提供数据支持和决策依据。展开更多
目的 :探讨疾病诊断相关分组(Diagnosis Related Groups,DRG)相关指标在护理工作量测算中的应用价值,以期构建更加科学合理的护理工作量评价模型。方法 :以北京市某三级医院31个科室为研究对象,回顾性分析2023年全年各科室11项护理工作...目的 :探讨疾病诊断相关分组(Diagnosis Related Groups,DRG)相关指标在护理工作量测算中的应用价值,以期构建更加科学合理的护理工作量评价模型。方法 :以北京市某三级医院31个科室为研究对象,回顾性分析2023年全年各科室11项护理工作量评价指标的数据,使用熵权法为各指标赋权重,利用秩和比法构建DRG和非DRG工作量评价模型,比较常规测算、DRG模型及非DRG模型3种护理工作量评价方式的优劣。结果:DRG模型和非DRG模型中护士人数、出院人次、床位周转次3个指标权重相同,权重最高的指标均为转入/转出人次,危重人日数次之。相对权重、病例组合指数、护理消耗指数分别处于第8、第5、第10顺位,病例组合指数为模型中不可忽略的重要指标。DRG模型和非DRG模型科室分档结果显示,优档有5个科室(占16%),良档有22个科室(占71%),一般档有4个科室(占13%),分档结果差异具有统计学意义(P<0.05)。结论 :基于DRG相关指标构建的护理工作量评价模型可更好地体现不同科室间的差异,对护理工作量测算具有一定借鉴意义,可为护理管理决策提供科学有效的依据。展开更多
基金Sponsored by the Tianjin Key Laboratory of Civil Aircraft Airworthiness and Maintenance in CAUC(Grant No.M J-J-2012-07)
文摘Physiological measures indexed by fixation frequency and total fixation time,task performance based on n-back accuracy,subjective assessment based on NASA Task Load Index(NASA-TLX) were used to measure the Mental Workload(MW) in different levels which were induced by vision-related flight task combined with auditory cognitive load. 16 healthy novice pilots were recruited to complete a monitoring task based on Head-Up Display(HUD) and an auditory n-back task which was used to manipulate the Mental Workload Level(MWL) in flight simulation environment. In our experiment,fixation frequency,average saccade time,blink rate and average pupil diameter were sensitive to MW. What's more,a comprehensive assessment method of pilot mental workload based on various measures was advocated. At last,a Fisher projection function based on the Fisher discrimination method and a three-level discriminate model established by the Bayes discrimination method were built up,the original validation and cross-validation methods of both models were 97. 92% and 95. 83% respectively,which could discriminate various Mental Workload Levels(MWLs) ideally.
文摘We consider a variant of M/M/1 where customers arrive singly or in pairs. Each single and one member of each pair is called primary;the other member of each pair is called secondary. Each primary joins the queue upon arrival. Each secondary is delayed in a separate area, and joins the queue when “pushed” by the next arriving primary. Thus each secondary joins the queue followed immediately by the next primary. This arrival/delay mechanism appears to be new in queueing theory. Our goal is to obtain the steady-state probability density function (pdf) of the workload, and related quantities of interest. We utilize a typical sample path of the workload process as a physical guide, and simple level crossing theorems, to derive model equations for the steady-state pdf. A potential application is to the processing of electronic signals with error free components and components that require later confirmation before joining the queue. The confirmation is the arrival of the next signal.
文摘目的基于医院信息系统(hospital information system,HIS)中的数据构建儿童口腔门诊护理项目框架表。方法于2023年8月—2024年5月开展文献回顾并提取HIS系统中的相关项目和其它日常工作条目,形成初步条目框架列表。应用德尔菲专家函询法,邀请全国22位专家进行2轮函询,并根据专家意见进行修订和完善,形成终版项目框架表。结果2轮函询中专家的积极系数均为100.0%,专家的权威系数分别为0.935、0.940,专家意见协调程度的Kendall′s W为0.200(P<0.01)。基于专家函询结果最终形成的儿童口腔门诊护理项目框架表,包含配合医生操作项目、直接工作项目和个人活动项目3个维度共计61个条目。结论本研究构建的儿童口腔门诊护理项目框架表具有较好的可靠性和科学性,可作为统计儿童口腔门诊护理工作量的科学工具,为临床护理管理提供数据支持和决策依据。
