Using a Secure, Continually Updating, Web Source Processing Pipeline to Support the Real-Time Data Synthesis and Analysis of Scientific Literature: Development and Validation Study.

Journal: Journal of medical Internet research
PMID: 33835932

Abstract

BACKGROUND: The scale and quality of the global scientific response to the COVID-19 pandemic have unquestionably saved lives. However, the COVID-19 pandemic has also triggered an unprecedented "infodemic"; the velocity and volume of data production have overwhelmed many key stakeholders such as clinicians and policy makers, as they have been unable to process structured and unstructured data for evidence-based decision making. Solutions that aim to alleviate this data synthesis-related challenge are unable to capture heterogeneous web data in real time for the production of concomitant answers and are not based on the high-quality information in responses to a free-text query.

Authors

  • Uddhav Vaghela
    PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Simon Rabinowicz
    PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Paris Bratsos
    PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Guy Martin
    PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Epameinondas Fritzilas
    Amazon Web Services UK Limited, London, United Kingdom.
  • Sheraz Markar
    PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Sanjay Purkayastha
    Department of Surgery and Cancer, Imperial College London, London, UK.
  • Karl Stringer
    MirrorWeb Limited, Manchester, United Kingdom.
  • Harshdeep Singh
    Cloudwick Technologies, Newark, CA, United States.
  • Charlie Llewellyn
    Amazon Web Services UK Limited, London, United Kingdom.
  • Debabrata Dutta
    Cloudwick Technologies, Newark, CA, United States.
  • Jonathan M Clarke
    PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Matthew Howard
    Amazon Web Services UK Limited, London, United Kingdom.
  • Ovidiu Serban
    Data Science Institute, Imperial College London, London, United Kingdom.
  • James Kinross
    PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.

Keywords

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