Leveraging Informatics and Technology to Support Public Health Response: Framework and Illustrations using COVID-19.

Online journal of public health informatics Pub Date : 2021-03-21 eCollection Date: 2021-01-01 DOI:10.5210/ojphi.v13i1.11072
Jane L Snowdon, William Kassler, Hema Karunakaram, Brian E Dixon, Kyu Rhee
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引用次数: 3

Abstract

Objective: To develop a conceptual model and novel, comprehensive framework that encompass the myriad ways informatics and technology can support public health response to a pandemic.

Method: The conceptual model and framework categorize informatics solutions that could be used by stakeholders (e.g., government, academic institutions, healthcare providers and payers, life science companies, employers, citizens) to address public health challenges across the prepare, respond, and recover phases of a pandemic, building on existing models for public health operations and response.

Results: Mapping existing solutions, technology assets, and ideas to the framework helped identify public health informatics solution requirements and gaps in responding to COVID-19 in areas such as applied science, epidemiology, communications, and business continuity. Two examples of technologies used in COVID-19 illustrate novel applications of informatics encompassed by the framework. First, we examine a hub from The Weather Channel, which provides COVID-19 data via interactive maps, trend graphs, and details on case data to individuals and businesses. Second, we examine IBM Watson Assistant for Citizens, an AI-powered virtual agent implemented by healthcare providers and payers, government agencies, and employers to provide information about COVID-19 via digital and telephone-based interaction.

Discussion: Early results from these novel informatics solutions have been positive, showing high levels of engagement and added value across stakeholders.

Conclusion: The framework supports development, application, and evaluation of informatics approaches and technologies in support of public health preparedness, response, and recovery during a pandemic. Effective solutions are critical to success in recovery from COVID-19 and future pandemics.

利用信息和技术支持公共卫生应对:使用COVID-19的框架和插图。
目标:开发一个概念模型和新颖的综合框架,涵盖信息学和技术支持公共卫生应对大流行的各种方式。方法:概念模型和框架对利益攸关方(如政府、学术机构、医疗保健提供者和支付方、生命科学公司、雇主、公民)可以使用的信息学解决方案进行分类,以现有的公共卫生业务和应对模型为基础,在大流行的准备、应对和恢复阶段应对公共卫生挑战。结果:将现有解决方案、技术资产和想法映射到框架中,有助于确定在应用科学、流行病学、通信和业务连续性等领域应对COVID-19的公共卫生信息学解决方案需求和差距。COVID-19中使用的两个技术示例说明了该框架所包含的信息学的新应用。首先,我们研究了天气频道的一个中心,该中心通过交互式地图、趋势图和病例数据细节向个人和企业提供COVID-19数据。其次,我们研究了IBM沃森公民助手,这是一种由医疗保健提供商和付款人、政府机构和雇主实施的人工智能虚拟代理,通过数字和基于电话的交互提供有关COVID-19的信息。讨论:这些新颖的信息学解决方案的早期结果是积极的,在利益相关者中显示出高水平的参与和附加值。结论:该框架支持信息学方法和技术的开发、应用和评估,以支持大流行期间的公共卫生准备、应对和恢复。有效的解决方案对于成功从COVID-19和未来的大流行中恢复至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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