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Prototype Development of an Expert System of Computerized Clinical Guidelines for COVID-19 Diagnosis and Management in Saudi Arabia

机译:沙特阿拉伯Covid-19诊断与管理计算机化临床指南专家系统的原型开发

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摘要

The increasing number of COVID-19 patients has increased health care professionals’ workloads, making the management of dynamic patient information in a timely and comprehensive manner difficult and sometimes impossible. Compounding this problem is a lack of health care professionals and trained medical staff to handle the increased number of patients. Although Saudi Arabia has recently improved the quality of its health services, there is still no suitable intelligent system that can help health practitioners follow the clinical guidelines and automated risk assessment and treatment plan remotely, which would allow for the effective follow-up of patients of COVID-19. The proposed system includes five sub-systems: an information management system, a knowledge-based expert system, adaptive learning, a notification and follow-up system, and a mobile tracker system. This study shows that, to control epidemics, there is a method to overcome the shortage of specialists in the management of infections in Saudi Arabia, both today and in the future. The availability of computerized clinical guidance and an up-to-date knowledge base play a role in Saudi health organizations, which may not have to constantly train their physician staff and may no longer have to rely on international experts, since the expert system can offer clinicians all the information necessary to treat their patients.
机译:越来越多的Covid-19患者增加了医疗保健专业人员的工作负载,以及时而综合的方式管理动态患者信息困难,有时是不可能的。复杂这个问题是缺乏医疗保健专业人士和培训的医务人员来处理患者数量增加。虽然沙特阿拉伯最近提高了其卫生服务的质量,但仍然没有合适的智能系统,可以帮助健康从业者遵循临床准则和自动风险评估和治疗计划,这将允许有效的患者随访新型冠状病毒肺炎(COVID-19):新冠肺炎(COVID-19):COVID-19。所提出的系统包括五个子系统:信息管理系统,基于知识的专家系统,自适应学习,通知和后续系统以及移动跟踪器系统。本研究表明,为了控制流行病,有一种方法可以克服今天和未来沙特阿拉伯的感染管理中的专家短缺。计算机化临床指导的可用性和最新的知识库在沙特卫生组织中发挥作用,这可能不必不断培训他们的医生工作人员,并且可能不再需要依赖国际专家,因为专家系统可以提供临床医生对治疗患者所需的所有信息。

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