Konchak Chad W, Krive Jacob, Au Loretta, Chertok Daniel, Dugad Priya, Granchalek Gus, Livschiz Ekaterina, Mandala Rupesh, McElvania Erin, Park Christine, Robicsek Ari, Sabatini Linda M, Shah Nirav S, Kaul Karen
NorthShore University Health System, Evanston, IL, USA.
University of Illinois at Chicago, IL, USA.
Acad Pathol. 2021 Apr 20;8:23742895211010257. doi: 10.1177/23742895211010257. eCollection 2021 Jan-Dec.
In March 2020, NorthShore University Health System laboratories mobilized to develop and validate polymerase chain reaction based testing for detection of SARS-CoV-2. Using laboratory data, NorthShore University Health System created the Data Coronavirus Analytics Research Team to track activities affected by SARS-CoV-2 across the organization. Operational leaders used data insights and predictions from Data Coronavirus Analytics Research Team to redeploy critical care resources across the hospital system, and real-time data were used daily to make adjustments to staffing and supply decisions. Geographical data were used to triage patients to other hospitals in our system when COVID-19 detected pavilions were at capacity. Additionally, one of the consequences of COVID-19 was the inability for patients to receive elective care leading to extended periods of pain and uncertainty about a disease or treatment. After shutting down elective surgeries beginning in March of 2020, NorthShore University Health System set a recovery goal to achieve 80% of our historical volumes by October 1, 2020. Using the Data Coronavirus Analytics Research Team, our operational and clinical teams were able to achieve 89% of our historical volumes a month ahead of schedule, allowing rapid recovery of surgical volume and financial stability. The Data Coronavirus Analytics Research Team also was used to demonstrate that the accelerated recovery period had no negative impact with regard to iatrogenic COVID-19 infection and did not result in increased deep vein thrombosis, pulmonary embolisms, or cerebrovascular accident. These achievements demonstrate how a coordinated and transparent data-driven effort that was built upon a robust laboratory testing capability was essential to the operational response and recovery from the COVID-19 crisis.
2020年3月，北岸大学医疗系统实验室开始行动，开发并验证基于聚合酶链反应的检测方法，用于检测严重急性呼吸综合征冠状病毒2（SARS-CoV-2）。利用实验室数据，北岸大学医疗系统组建了数据冠状病毒分析研究团队，以追踪整个机构内受SARS-CoV-2影响的活动。运营负责人利用该团队的数据洞察和预测结果，在整个医院系统重新调配重症护理资源，并且每天使用实时数据来调整人员配置和物资供应决策。当新冠病毒检测亭满负荷运转时，利用地理数据将患者分流到我们系统中的其他医院。此外，新冠疫情的一个后果是患者无法接受择期治疗，导致疼痛持续时间延长以及对疾病或治疗存在不确定性。自2020年3月开始停止择期手术后，北岸大学医疗系统设定了一个恢复目标，即在2020年10月1日前达到历史手术量的80%。通过数据冠状病毒分析研究团队，我们的运营和临床团队提前一个月实现了历史手术量的89%，实现了手术量的快速恢复和财务稳定。数据冠状病毒分析研究团队还被用于证明加速恢复期对医源性新冠病毒感染没有负面影响，也没有导致深静脉血栓、肺栓塞或脑血管意外增加。这些成就表明，基于强大的实验室检测能力，进行协调且透明的数据驱动工作对于应对新冠危机及从中恢复运营至关重要。
