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Evaluation mechanism of hospital performance activities based on fuzzy neural network

机译:基于模糊神经网络的医院绩效活动评价机制

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With the development of society and economy, our health care level has been greatly improved, while the size of the hospital is continually expanding. Reasonable, intelligent hospital performance evaluation mechanism plays an important role in the current hospital management. It not only can effectively help hospitals determine the future direction of development, but also help the hospital with the application of scientific methods for hospital staff assessment and evaluation to achieve a fair and impartial manner. In this study, the fuzzy neural network is introduced into the hospital performance evaluation, principles to maximize the performance of hospital performance indicators and create, and building hospital performance evaluation mechanism system. The basic framework of this system includes: operational capability, potential for development, the contribution of the staff for hospital and so on. Meanwhile, we take the attendance and medical safety as factors of evaluation hospital staff's performance. Because the staff and the judge is more often related to interest, reputation, etc, the application of performance evaluation mechanism based on fuzzy neural network can reduce the influence of subjective factors on the final results of the evaluation mechanism so as to be a fair and intelligent evaluation mechanism.
机译:随着社会经济的发展,我们的医疗水平得到了极大的提高,而医院的规模也在不断扩大。合理,智能的医院绩效评估机制在当前医院管理中发挥着重要作用。它不仅可以有效地帮助医院确定未来的发展方向,而且可以帮助医院运用科学的方法对医院人员进行考核和评估,以达到公平,公正的方式。本研究将模糊神经网络引入医院绩效评价,建立了最大化医院绩效指标并建立医院绩效评价指标体系的原则。该系统的基本框架包括:运营能力,发展潜力,员工对医院的贡献等。同时,我们将出勤率和医疗安全性作为评估医院工作人员绩效的因素。由于员工和法官更多地与利益,声誉等相关,因此基于模糊神经网络的绩效考核机制的应用可以减少主观因素对考核机制最终结果的影响,从而做到公平,公正。智能评估机制。

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