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arXiv 2108.09738cs.CY
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执行信息系统在COVID-19报告系统和管理中的应用--以印尼雅加达DKI为例

Application of Executive Information System for COVID-19 Reporting System and Management: An Example from DKI Jakarta, Indonesia

Verry Adrian, Intan Rachmita Sari, Hardya Gustada Hikmahrachim

摘要:

SARS CoV-2感染和传播在印度尼西亚等发展中国家存在问题。由于缺乏信息系统,各省必须能够创新开发与SARS CoV-2感染监测相关的信息系统。雅加达卫生部建立了一个名为COVID-19报告执行信息系统(EIS)的数据管理系统。EIS旨在提供实际数据,以便当前的流行病学分析准确。EIS的主要思想是向利益相关者提供有效和实际的信息,然后以仪表板的形式呈现。EIS用于推动数据流和管理,以实现快速监控的目的。这可能是印度尼西亚第一次通过透明的系统使用集成系统报告接近实际的近50万人的数据。所提供的主要数据对监测和评估COVID-19传播非常重要,即累计病例数和每日病例数。EIS中的数据还可以提供地理数据,以便进行更详细的分析。EIS的数据和仪表板通过提供各医院(特别是隔离病房)床位占用率和可用性的实际数据,帮助政府进行流行病控制。利益相关者、学术机构应利用EIS数据和其他要素帮助印尼抗击COVID-19。

英文摘要:

SARS CoV-2 infection and transmission are problematic in developing countries such as Indonesia. Due to the lack of an information system, Provinces must be able to innovate in developing information systems related to surveillance of SARS CoV-2 infection. Jakarta Department of Health built a data management system called Executive Information System (EIS) of COVID-19 Reporting. EIS aimed to provide actual data so that current epidemiological analysis is accurate. The main idea of EIS is to provide valid and actual information to stakeholders, which can then be presented in the form of a dashboard. EIS is utilized to push data flow and management for rapid surveillance purposes. This could be the first time in Indonesia that a system reports near-actual data of nearly half a million people daily using an integrated system through a transparent system. The main data presented is important to monitor and evaluate COVID-19 transmission is the cumulative case dan daily case number. Data in EIS also can offer data geographically so that a more detailed analysis could be done. EIS's data and the dashboard help the government in pandemic control by presenting actual data on bed occupancy and availability across hospitals, especially isolation wards. Stakeholders, academic institutions should utilize EIS data and other elements to help Indonesia fight COVID-19.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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