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Since COVID-19 became a global focal point in the late winter and early spring of 2020,datahas been an indispensable tool in response and recovery, particularly in the healthcare sector. Health systems, researchers, and policymakers have leveraged data to drive critical decisions from short-term emergency response to long-term recovery planning and vaccine studies. Organizations with data-driven cultures and processes to access, manage, and share knowledge have successfully navigated patient surges and resource strains, tempered disease spread, expanded understanding of the virus across healthcare and research communities, mounted effective financial responses, saved patient lives, and more.
While data has supported and improved COVID-19 response and recovery in innumerable ways, five areas stand out for their robust use of data and measurable impact on the course of the outbreak and the individuals and frontline providers most affected:
Hospitalcommand centerleaders have never had to run an incident response on the scale of the COVID-19 pandemic. Whereas a typical emergency event (e.g., flooding, earthquakes, multivehicle collisions, or shootings) causes rapid patient influx with an identifiable starting and stopping point, mostly requiring only basic data andanalytics在影响预测方面,新型冠状病毒对作业产生了持续的、不可估量的影响。COVID-19持续时间长,传播风险高,波及范围广,这要求卫生系统做好准备,应对更复杂的设施、设备和人员需求,而不是领导人和团队成员接受过培训或有经验的。成功的组织利用全面、准确和可获取的数据,在疫情影响最严重的领域(临床能力、设备和人员配备)扩大应对规模。
Health system resource strain became an urgent concern early in the COVID-19 pandemic. Hard-hit areas exhausted their hospital beds, ventilators, personal protective equipment, staffing, and other life-saving essentials, while other regions scrambled to prepare for inevitable surges. These resource concerns heightened the need for accurate, localized, data-informed hospitalcapacity planning. Capacity forecasting leverages operational, clinical, and population health data to predict a patient surge and its demand on resources. This foresight allows planners to design and implement mitigation strategies that can prevent disastrous pandemic resource strain and save patient lives.
由于COVID-19似乎主要通过人与人接触(如咳嗽、打喷嚏或讲话)中的呼吸道飞沫传播,了解受感染患者曾在哪里以及与谁接触过至关重要。For health systems, patient and staffcontact tracingis one of the top transmission-control and life-saving strategies. With this insight, organizations can manage transmission with data-driven emergency planning and monitoring capabilities. Contact tracing aligns existing patient flow data (from manual tracking) with potential staff exposure indicators from the clinical record, such as which parts of the facility the patient entered and the types of treatments or testing they underwent. This process provides analytic insights surrounding patient movement and interactions between staff and patients with either a confirmed or suspected infection. These data can then encourage informed and timely action.
不完整、不透明和过时的COVID-19数据一直是国内外了解和管理该病毒以及开发疫苗的主要障碍之一。In addition to driving COVID-19 understanding within the United States, data from a nationaldisease registry为美国境外的研究提供信息。Clinicians with theSingapore Ministry of Healthcare’s(MOH)Office for Healthcare Transformation(MOHT) have used the Health CatalystTouchstone® COVID-19 Registry and Insightsto develop a machine learning tool that helps predict the likelihood of COVID-19 mortality. With this national data set that leverages deep aggregated EHR data, the MOHT accessed the research-grade data needed to build a machine-learning algorithm that predicts the risk of death from COVID-19. The registry-informed prediction model was accurate enough to stand up to comparisons in the published literature and promises to help inform vaccine research and, ultimately, allocation of vaccines within populations.
COVID-19 has made traditional, historical-data financial methodologies obsolete and highlighted the imperative for health systems to create a new, effectivefinancial emergency response. Organizations can get back on the road to financial recovery and well-being and prepare for future obstacles by practicing three key strategies centered around data:
Healthcare’s journey to becoming data driven has often been fraught, with difficulties ranging from sunk costs to clinician burnout and more. With COVID-19, digitization has proven its value on the global stage: data-first organizations have most effectively and safely delivered care while navigating financial strains, while accessible, shareable data has been critical to disease management and prevention research, ultimately saving patient lives.
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