目的:评价云计算在医院的应用效果

Rezvane Sali, S. Sali, F. Pourrezagholi
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引用次数: 0

摘要

目标:今天,近年来的增长、扩展、网络速度的提高和大规模流行已成为人类生活各个方面的变化,技术进步对科学、艺术和商业的影响导致电子政务、电子学习和电子保健等新领域的出现。方法论:一方面是知识和信息的重要性,另一方面是非常高的数量增长和不断更新的需求,这导致了为处理和获取信息创造新的工具和解决方案。网络的发展及其功能的增强对这一领域的发展具有重要的推动作用。其中一种新兴的方式是云计算系统。云计算作为一种新的IT基础设施和新的网络解决方案,可以在提供电子医疗服务方面带来重大好处。在电子保健中使用这种技术需要考虑几个因素。本研究的主要目的是确定并排名在电子卫生采用云计算的有效因素。本文设计了一个基于云计算的模型,将患者的信息进行整合,使患者和医生都能获得这些信息。结果:该综合系统显著减少了对患者的处理时间和服务,以及患者记录的显示,包括所有问题和疾病,如心血管问题、过敏、缺乏维生素等,提高了护理质量,也降低了诊断错误的风险。结论:本系统采用智能模块对患者进行评估和选择适当的急救帮助,并在公共存储空间中通过联系云存储患者信息记录。使用这个模型,我们可以划分病人和医生之间的空间,医生负责从开始到结束的完全康复。
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To evaluate the effectiveness of cloud computing in hospital
Objective: Today, Growth, expansion, increased network speed and large-scale epidemic during recent years has been a shift in various aspects of human life, and the impact of advances in technology on the sciences, arts and business leads to emergence of new areas such as e-Government, e-Learning and e-Health. Methodology: The importance of knowledge and information in one hand and very high volume growth and the need to constantly update on the other hand leads to create new tools and solutions for processing and access to information. Networks development and their functionality enhancement has a significant role in advance of this field. One of the new emerging ways is cloud computing system. Cloud computing as a new IT infrastructure and new web solutions could have significant benefits in providing electronic medical services. The use of this technology in e-health needs to consider several factors. The main objective of this study is to identify and rank the effective factors on the adoption of cloud computing in e-health. In this thesis, a model based on cloud computing is designed to integrate patient`s information and makes them available for patients and doctors. Results: This comprehensive system significantly reduces processing time and service to the patient and also the display of patient records, including all the problems and diseases such as cardiovascular problems, allergies, lack of vitamins, etc., quality of care and also reduces the risk of diagnostic errors.  Conclusion: In This system by using an intelligent module which protects evaluation and selection of proper emergency helps to patients and store patient`s information record by contacting cloud in common storage space. Using this model, we can divide the space between the patient and doctor, and doctor become responsible from the beginning up to end of complete recovery.
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