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Mobilizing data during a crisis: Building rapid evidence pipelines using multi-institutional real world data.

Jayson S Marwaha1, Maren Downing2, John Halamka3

  • 1Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA.

Healthcare (Amsterdam, Netherlands)
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Summary
This summary is machine-generated.

Real-world data (RWD) consortia rapidly generated evidence for COVID-19. Experiences offer guidance for building future RWD analysis pipelines to address public health issues effectively.

Keywords:
COVID-19ConsortiaPandemic responseRapid evidence generationReal world data

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Area of Science:

  • Public Health
  • Data Science
  • Epidemiology

Background:

  • The COVID-19 pandemic highlighted the need for rapid evidence generation using real-world data (RWD).
  • Numerous public and private consortia formed in 2020 to leverage RWD for medical decision-making and public health.
  • Experiences from five large consortia were analyzed to provide insights into multi-institutional RWD analysis.

Purpose of the Study:

  • To offer guidance on establishing large-scale, multi-institutional RWD analysis pipelines for future public health challenges.
  • To share lessons learned from consortia that rapidly generated evidence during the COVID-19 pandemic.
  • To inform the development of robust RWD analysis frameworks for emerging health crises.

Main Methods:

  • Analysis of experiences across five major consortia focused on RWD evidence generation.
  • Examination of consortium composition, governance, data sharing, analysis approaches, and evidence dissemination.
  • Compilation of insights across five key dimensions of collaborative RWD analysis.

Main Results:

  • Consortium composition was often based on existing collaborations, with varied governance structures but aligned priorities.
  • Challenges in accessing clinical data were overcome through diverse strategies.
  • Both centralized and federated data analysis approaches proved effective for generating meaningful RWD insights.
  • Actionable recommendations for clinical practice and public health were derived from consortium findings.

Conclusions:

  • Consortia successfully generated timely evidence on COVID-19 diagnosis and treatment using RWD.
  • RWD analysis, when conducted with scientific rigor and transparency, complements clinical trials and informs policy.
  • Leveraging RWD is crucial for effective pandemic response and guiding critical care decisions.