A Noval Approach to Integrate Heterogeneous Healthcare Information for COVID-19 Pandemic Emergency Management

整合异构医疗信息以进行 COVID-19 大流行应急管理的新颖方法

• 批准号: 555161-2020
• 负责人: Zhang, Wenjun
• 金额: $ 3.64万
• 依托单位: University of Saskatchewan
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=705807
• 关键词: Noval; Approach; Integrate; Heterogeneous; Healthcare

Healthcare systems in Canada and worldwide are not designed for coping with a pandemic such as the COVID-19. A great challenge presented to pandemic emergency management is to make timely and correct decisions on reconfiguring or reallocating resources and patients. This project will address this challenge with a focus on healthcare information systems - i.e., how the healthcare information system can efficiently support the decision making process in emergency management. This project will be carried out by a partnership between the University of Saskatchewan and the Saskatchewan Health Authority (SHA). SHA has a mandate to provide direction and coordination to all healthcare units across the province of Saskatchewan. In SHA's on-going fight with the COVID-19 pandemic, the data flooding over SHA appears with the characteristics of high volume, great variety, and often fails to support decision making in the COVID-19 pandemic. The research group of the University of Saskatchewan, participating in this partnership, is specialized in information systems with the experience of emergency management and resilience engineering. The overall objective of this project is to advance the healthcare information system technology for the COVID-19 emergency operation management to better support rapid decision making. The project has three specific objectives: 1) to improve the understanding of data and its association with counter-measures for fighting the COVID-19 pandemic; 2) to develop a new healthcare information system that is flexible and reconfigurable to work in both the normal and pandemic situations, along with a generic data model for healthcare information systems of any other province; 3) to develop tools for data acquisition, data integration, and data presentation, along with the user interface for these tools.

加拿大和世界各地的医疗体系都不是为应对新冠肺炎这样的大流行而设计的。大流行应急管理面临的一个巨大挑战是就重新配置或重新分配资源和患者做出及时和正确的决定。该项目将解决这一挑战，重点是医疗保健信息系统--即医疗保健信息系统如何有效地支持应急管理中的决策过程。 该项目将由萨斯喀彻温省大学和萨斯喀彻温省卫生局(SHA)合作实施。该局的任务是为萨斯喀彻温省的所有医疗单位提供指导和协调。在卫生局持续抗击新冠肺炎疫情中，疫情暴发的海量数据呈现出量大、种类多的特点，往往无法为新冠肺炎疫情的决策提供支持。萨斯喀彻温大学的研究小组参与了这一伙伴关系，专门研究具有应急管理和复原力工程经验的信息系统。 该项目的总体目标是推进用于新冠肺炎应急运营管理的医疗信息系统技术，以更好地支持快速决策。该项目有三个具体目标：1)提高对数据的理解及其与抗击新冠肺炎大流行的对策的联系；2)开发一个新的医疗信息系统，该系统灵活且可重新配置，可以在正常和大流行情况下工作，以及任何其他省份的医疗信息系统的通用数据模型；3)开发用于数据获取、数据集成和数据呈现的工具，以及这些工具的用户界面。