AI 中文总结
本文针对疫情应对与管理提出整体系统信息学方法DMAIC，定义疫情相关挑战，回顾数据收集等方法，强调利用数据和分析工具，探讨医疗保健新趋势及优化策略，有望推动多学科研究，加速该方法在疫情防控中的应用。
AI 中文摘要
本文提出一种整体系统信息学方法，即定义、测量、分析、改进和控制（DMAIC），通过大量使用数据、统计和优化来进行疫情应对与管理。尽管系统信息学在制造业、物流、服务等行业取得持续成功，但在疫情爆发背景下，数据驱动的DMAIC方法缺乏集中审查和应用。首先定义疫情爆发给人群健康、卫生系统及不同行业带来的挑战；接着回顾数据收集的医学检测和统计抽样方法等；然后讨论实现数据潜力及利用分析方法工具进行决策支持的重要性；再探讨医疗保健解决方案新趋势；最后讨论优化健康政策和行动策略。我们认为此工作将促进更深入研究及多学科努力，加速系统信息学方法和工具在疫情应对及风险管理中的应用。
英文摘要
This paper presents a holistic systems informatics approach, i.e., Define, Measure, Analyze, Improve, and Control (DMAIC), for epidemic response and management through the intensive use of data, statistics and optimization. Despite the sustained successes of system informatics in a variety of established industries such as manufacturing, logistics, services and beyond, there is a dearth of concentrated review and application of the data-driven DMAIC approach in the context of epidemic outbreaks. First, we define specific challenges posed by epidemic outbreaks to populational health, health systems, as well as economic challenges to different industries such as retailing, education and manufacturing. Second, we present a review of medical testing and statistical sampling methods for data collection, as well as existing efforts in data management and data visualization. Third, we discuss the importance to realizing the full potential of data for epidemic insights, and emphasize the need to leverage analytical methods and tools for decision support. Fourth, an epidemic brings imperative changes to health systems. We discuss the new trend of healthcare solutions to improve system resilience, including telehealth, artificial intelligence, resource allocation, and system re-design. In closing, prescriptive approaches are discussed to optimize the health policies and action strategies for controlling the spread of virus. We posit that this work will catalyze more in-depth investigations and multi-disciplinary research efforts to accelerate the application of system informatics methods and tools in epidemic response and risk management.
Journal refAI and Analytics for Public Health (Springer, 2022)
DOI：10.1007/978-3-030-75166-1_1
