Guerrier Christina, McDonnell Cara, Magoc Tanja, Fishe Jennifer N, Harle Christopher A
Center for Data Solutions, University of Florida Health Science Center, Jacksonville, Florida, USA.
Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA.
MDM Policy Pract. 2022 Mar 29;7(1):23814683221089844. doi: 10.1177/23814683221089844. eCollection 2022 Jan-Jun.
The COVID-19 pandemic created an unprecedented strain on the health care system, and administrators had to make many critical decisions to respond appropriately. This study sought to understand how health care administrators used data and information for decision making during the first 6 mo of the COVID-19 pandemic. We conducted semistructured interviews with administrators across University of Florida (UF) Health. We performed an inductive thematic analysis of the transcripts. Four themes emerged from the interviews: 1) common types of health systems or hospital operations data; 2) public health and other external data sources; 3) data interaction, integration, and exchange; and 4) novelty and evolution in data, information, or tools used over time. Participants illustrated the organizational, public health, and regional information they considered essential (e.g., hospital census, community positivity rate, etc.). Participants named specific challenges they faced due to data quality and timeliness. Participants elaborated on the necessity of data integration, validation, and coordination across different boundaries (e.g., different hospital systems in the same metro areas, public health agencies at the local, state, and federal level, etc.). Participants indicated that even within the first 6 mo of the COVID-19 pandemic, the data and tools used for making critical decisions changed. While existing medical informatics infrastructure can facilitate decision making in pandemic response, data may not always be readily available in a usable format. Interoperable infrastructure and data standardization across multiple health systems would help provide more reliable and timely information for decision making. Our findings contribute to future discussions of improving data infrastructure and developing harmonized data standards needed to facilitate critical decisions at multiple health care system levels.
The study revealed common health systems or hospital operations data and information used in decision making during the first 6 mo of the COVID-19 pandemic.Participants described commonly used internal data sources, such as resource and financial reports and dashboards, and external data sources, such as federal, state, and local public health data.Participants described challenges including poor timeliness and limited local relevance of external data as well as poor integration of data sources within and across organizational boundaries.Results suggest the need for continued integration and standardization of health data to support health care administrative decision making during pandemics or other emergencies.
新冠疫情给医疗系统带来了前所未有的压力,管理人员不得不做出许多关键决策以做出适当应对。本研究旨在了解医疗管理人员在新冠疫情的前6个月中如何利用数据和信息进行决策。我们对佛罗里达大学健康系统的管理人员进行了半结构化访谈。我们对访谈记录进行了归纳主题分析。访谈中出现了四个主题:1)卫生系统或医院运营数据的常见类型;2)公共卫生和其他外部数据源;3)数据交互、整合和交换;4)随着时间推移所使用的数据、信息或工具的新颖性和演变。参与者阐述了他们认为至关重要的组织、公共卫生和区域信息(如医院普查、社区阳性率等)。参与者指出了由于数据质量和及时性而面临的具体挑战。参与者详细说明了跨不同边界(如同一个大都市区内的不同医院系统、地方、州和联邦层面的公共卫生机构等)进行数据整合、验证和协调的必要性。参与者表示,即使在新冠疫情的前6个月内,用于做出关键决策的数据和工具也发生了变化。虽然现有的医学信息基础设施可以促进大流行应对中的决策制定,但数据可能并不总是以可用格式随时可得。多个卫生系统之间的可互操作基础设施和数据标准化将有助于为决策提供更可靠和及时的信息。我们的研究结果有助于未来关于改善数据基础设施和制定统一数据标准的讨论,这些标准是在多个医疗系统层面促进关键决策所必需的。
该研究揭示了新冠疫情前6个月决策过程中使用的常见卫生系统或医院运营数据和信息。参与者描述了常用的内部数据源,如资源和财务报告及仪表板,以及外部数据源,如联邦、州和地方公共卫生数据。参与者描述了包括外部数据及时性差和与当地相关性有限以及组织内部和跨组织边界的数据源整合不佳等挑战。结果表明,需要持续整合和标准化卫生数据,以支持大流行或其他紧急情况下的医疗管理决策。