BigCoviData [COVID-19]

• Research type

  Research Study

• Full title

  Clinical characteristics and prognostic factors of patients with COVID-19 using Big Data and Artificial Intelligence techniques

• IRAS ID

  285392

• Contact name

  Jennifer Quint

• Contact email

  j.quint@imperial.ac.uk

• Sponsor organisation

  Imperial College

• Duration of Study in the UK

  1 years, 0 months, 0 days

• Research summary

  Emerging and rapidly evolving diseases such as covid-19 are best understood using readily available, population-based data with updated follow-up information. However at present easy access to high quality, detailed secondary care data across multiple sites is unattainable. This project will provide infrastructure that will be used in the short term to determine factors that predict disease prognosis and outcomes in hospitalised covid-19 patients, specifically: transfer to ICU and/or need for mechanical ventilation, length of ICU stay, and outcome (hospital discharge, in-hospital death). That infrastructure, once in place can be used in the longer term to inform preparation for wave two with technology that will allow near real time monitoring at a detailed level during the next phase, including in hospital patient flow and recovery that has thus far not been possible.
  This protocol details the research partnership between Imperial (BREATHE Respiratory hub partner), SAIL (Swansea University SAIL databank) and SAVANA (int. medical company) which aims to provide unique infrastructure to be used now to determine factors that predict disease prognosis and outcomes in hospitalised covid-19 patients, specifically: transfer to ICU and/or need for mechanical ventilation, length of ICU stay, and outcome (hospital discharge, in-hospital death). Once in place, this infrastructure will be used to inform preparation for and monitoring of wave two, allowing near real time feedback at a national and individual trust level. In addition once analysis is complete all accumulated data will be shared with the SAIL databank (Swansea University) making such data available to all interested parties in the wider research and healthcare communities worldwide.

• REC name

  N/A

• REC reference

  N/A