Building a versatile medical test system in a pandemic

Junna Oba, Masako Toriya, Koichi Matsuo
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Abstract

The COVID-19 pandemic was unprecedented and forced countries to organise and combine resources and develop coordinated responses. Temporary systems were established with the support of researchers and other stakeholders. Dr Junna Oba, Assistant Professor at the Department of Extended Intelligence for Medicine at Keio University School of Medicine (KUSM) is devising methodologies for developing adjustable temporary systems that are quick and efficient to build, apply and dissemble when emergency situations have passed. KUSM helped to respond to the COVID-19 crisis by collaborating with basic science researches to reinforce the PCR testing system in hospitals. Among those involved in this effort were Professor Masako Toriya of Keio University Global Research Institute (KGRI) and Professor Koichi Matsuo from the KUSMâ–™s Collaborative Research Resources group. The researchers built from scratch a workflow for effective testing and information sharing. Since this time, the team has been working to build a cooperative network, developing a novel approach to planning, analysing and recording various processes and strategies to address emergency situations that will be shared with the wider healthcare community and policy makers. The researchers used systems engineering methods to launch an unprecedented collaborative system that offers the ability to gain an overall picture of the interrelationships between departments that are working together on the diagnosis, treatment and management of COVID-19.
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在大流行中建立一个通用的医学检测系统
COVID-19大流行是前所未有的,迫使各国组织和整合资源,制定协调一致的应对措施。在研究人员和其他利益攸关方的支持下建立了临时系统。庆应义塾大学医学院(KUSM)扩展智能医学系助理教授Junna Oba博士正在设计开发可调临时系统的方法,该系统在紧急情况过去后可以快速有效地构建、应用和拆卸。该医院与基础科学研究合作,加强了医院的PCR检测系统,为应对新冠疫情做出了贡献。参与这项工作的人员包括庆应义塾大学全球研究所(KGRI)的鸟屋雅子教授和kusmise -™合作研究资源组的Koichi Matsuo教授。研究人员从零开始建立了一个有效测试和信息共享的工作流程。从那时起,该团队一直致力于建立一个合作网络,开发一种新的方法来规划、分析和记录各种流程和战略,以应对紧急情况,并与更广泛的医疗保健界和决策者分享。研究人员使用系统工程方法启动了一个前所未有的协作系统,该系统能够全面了解共同致力于COVID-19诊断、治疗和管理的部门之间的相互关系。
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