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From Testing to Decision-Making: A Data-Driven Analytics COVID-19 Response.

Chad W Konchak1, Jacob Krive1,2,3, Loretta Au1

  • 1NorthShore University Health System, Evanston, IL, USA.

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|May 7, 2021
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Summary
This summary is machine-generated.

NorthShore University Health System used data analytics to manage the COVID-19 pandemic, enabling rapid recovery of surgical volumes and ensuring patient safety during the crisis.

Keywords:
COVID-19clinical analyticsgeographical information systemshealth data warehousepathology informaticsreal-time clinical data

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Area of Science:

  • Healthcare Operations
  • Infectious Disease Management
  • Data Analytics in Healthcare

Background:

  • The COVID-19 pandemic necessitated rapid adaptation in healthcare systems.
  • NorthShore University Health System faced challenges in managing resources and elective care.

Purpose of the Study:

  • To detail the development and application of a data analytics team for managing the COVID-19 crisis.
  • To assess the impact of data-driven strategies on operational recovery and patient outcomes.

Main Methods:

  • Development of polymerase chain reaction (PCR) testing for SARS-CoV-2.
  • Establishment of the Data Coronavirus Analytics Research Team (DART) for real-time data tracking.
  • Utilization of DART insights for resource allocation, staffing, and patient triage.

Main Results:

  • Achieved 89% of historical surgical volumes by September 2020, exceeding the 80% goal.
  • Demonstrated no negative impact on patient safety, including iatrogenic COVID-19 infections or increased thrombotic/cerebrovascular events.
  • Successfully managed critical care resources and elective surgery recovery.

Conclusions:

  • A coordinated, data-driven approach is crucial for effective healthcare crisis management.
  • Robust laboratory testing and real-time data analytics facilitate operational resilience and financial stability.
  • Data insights enabled informed decision-making for patient care and resource optimization during the pandemic.