期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
质量指标计划的概率统计方法
1
作者 赵福森 《航空制造技术》 1979年第11期33-33,45,共2页
质量指标(如产品合格率、工时超差率、单机平均故障条数等)是工业企业主要的经济技术指标。目前,作计划时的一般做法是:根据以往实际完成数取平均值,再留一点余地。这种做法作为理性指导是很对的,但余地留多大没有一个数量标准。正是由... 质量指标(如产品合格率、工时超差率、单机平均故障条数等)是工业企业主要的经济技术指标。目前,作计划时的一般做法是:根据以往实际完成数取平均值,再留一点余地。这种做法作为理性指导是很对的,但余地留多大没有一个数量标准。正是由于这个原因,往往在同一个企业中,这个车间与那个车间的质量指标计划宽严程度不一,有的车间容易完成,有的不易完成。怎样才能使计划作得比较合理呢? 概率统计方法是帮助我们解决这个问题的途径之一。大体步骤是: 1.把一个车间月指标完成数看成一个随机变量X。 展开更多
关键词 概率水平 差率 条数 质量指标计划 产品合格率 正态分布函数 概率统计方法
下载PDF
鼻咽癌同步加量调强放射治疗新的计划质量评估指标研究
2
作者 金献测 易金玲 +3 位作者 周永强 阎华伟 韩策 谢聪颖 《中国医学物理学杂志》 CSCD 2013年第2期3978-3983,共6页
目的:为选择最优的鼻咽癌同步加量调强放疗计划建立一个新的计划质量评估指标。方法:自行编写一个Matlab程序读取TPS中的DVH数据。计算各计划质量指标并建立计划过滤矩阵。结合剂量的和生物计划质量指标建立新的综合计划质量评估指标(CP... 目的:为选择最优的鼻咽癌同步加量调强放疗计划建立一个新的计划质量评估指标。方法:自行编写一个Matlab程序读取TPS中的DVH数据。计算各计划质量指标并建立计划过滤矩阵。结合剂量的和生物计划质量指标建立新的综合计划质量评估指标(CPQI)用于评估和比较鼻咽癌同步加量调强计划。并通过详细的统计分析和医生的评估结果对该新的评估指标进行验证。结果:对于不同危急器官(OAR)保护权重的计划,OAR low,OAR normal,OAR high和PTV only计划,CPQI的值分别为0.22±0.08,0.49±0.077,0.71±0.062,-0.21±0.16。这些计划之间的计划质量指标有显著的差异。详细的统计分析验证了该指标的准确性,并与医生的评估选择结果一致。结论:新的计划质量评估指标准确简便,可以为鼻咽癌病人选择最优的同步加量调强计划提供帮助。 展开更多
关键词 鼻咽癌 同步加量调强放疗 计划质量指标
下载PDF
Challenges using electronic nursing routine data for outcome analyses:A mixed methods study
3
作者 Renate Nantschev Elske Ammenwerth 《International Journal of Nursing Sciences》 CSCD 2022年第1期92-99,I0006,共9页
Objectives To explore the challenges of secondary use of routinely collected data for analyzing nursing-sensitive outcomes in Austrian acute care hospitals.Method A convergent parallel mixed methods design was perform... Objectives To explore the challenges of secondary use of routinely collected data for analyzing nursing-sensitive outcomes in Austrian acute care hospitals.Method A convergent parallel mixed methods design was performed.We conducted a quantitative representative survey with nursing managers from 32 Austrian general acute care hospitals and 11 qualitative semi-structured interviews with nursing quality management experts.Both results were first analyzed independently and afterward merged in the discussion.Results On average,76%of nursing documentation is already electronically supported in the surveyed Austrian hospitals.However,existing nursing data is seldom used for secondary purposes such as nursing-sensitive outcome analyses.This is due to four major reasons:First,hospitals often do not have a data strategy for the secondary use of routine data.Second,hospitals partly lack the use of standardized and uniform nursing terminologies,especially for nursing evaluation.Third,routine nursing data is often not documented correctly and completely.Fourth,data on nursing-sensitive outcomes is usually collected in specific documentation forms not integrated into routine documentation.Conclusion The awareness of the possibilities for secondary use of nursing data for nursing-sensitive outcome analyses in Austrian hospitals is still in its infancy.Therefore,nursing staff and nursing management must be trained to understand how to collect and process nursing data for nursing-sensitive outcome analyses.Further studies would be interesting in order to determine the factors that influence the decision-making processes for the secondary use of nursing data for outcome analyses. 展开更多
关键词 Austria Health care quality indicators Nursing care plan Nursing informatics Routinely collected health data Secondary use Standardized nursing terminology
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部