A commentary on the value of hospital data for covid-19 pandemic surveillance and planning

被引:2
|
作者
Manuel, Douglas G. [1 ,2 ,3 ]
van Walraven, Carl [1 ,3 ,4 ]
Forster, Alan J. [1 ,3 ,4 ]
机构
[1] Ottawa Hosp Res Inst, Civ Campus,1053 Carling Ave, Ottawa, ON K1Y 4E9, Canada
[2] Univ Ottawa, Sch Epidemiol & Publ Hlth, Family Med, 600 Peter Morand Crescent, Ottawa, ON K1G 5Z3, Canada
[3] ICES, Ottawa, ON, Canada
[4] Univ Ottawa, Med, Sch Epidemiol & Publ Hlth, 600 Peter Morand Crescent, Ottawa, ON K1G 5Z3, Canada
关键词
covid-19; SARS-CoV-2; public health; hospital records; decision support techniques; medical records systems; computerized; forecasting;
D O I
10.23889/ijpds.v5i4.1393
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Hospital data for covid-19 surveillance, planning and modelling are challenging to find worldwide in public aggregation portals. Detailed covid-19 hospital data provides insights into covid-19's health burden including identifying which sociodemographic groups are at greatest risk of covid-19 morbidity and mortality. Timely hospital data is the best source of information for actionable forecasts and projection models of hospital capacity, including critical resources such as intensive care unit beds and ventilators that take time to plan or procure. A challenge to generate timely and detailed hospital data is the reliance on separation or discharge abstracts and census counts. What are needed are well-maintained lists of patients hospitalized with covid-19. From the standpoint of public health and health services researchers and practitioners, we describe the role of hospital data for studying covid-19, why admission data are hard to find, and how improved data infrastructure can meet surveillance and planning needs in the near future. Modern hospital electronic health records can create covid-19 patient lists and these decision support tools are increasingly used for research. These tools can generate patient lists that are transmitted and combined with public health data systems.
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页数:5
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