Pilot description
Pilot start date: April, 2020
Objective: To extract the knowledge contained in a large quantity of existing scientific evidence and regulation documentation on COVID-19, and provide it to the clinicians and managers in a manageable way by means of advanced data visualisation tools.
This Pilot aimed to improve the management of COVID-19 crisis at strategic, tactic and operational level. The relevant data was not structured and came from different data sources (e.g. Internet, specific clinical articles and websites). Being able to extract the relevant information from these sources would allow clinical managers to develop actions and policies, help Clinicians in their day-to-day work practice with their patients and allow clinical researchers to improve their research.
- Data used: COVID-19 updates and new research published in peer-reviewed publication: Over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19 and the coronavirus family of viruses.
- Data sources:
- COVID-19 Open Research Dataset (CORD-19)
- PubMed.gov
Use cases addressed:
- Advanced data visualisation
- Advanced text mining
Stakeholders
Conselleria de Sanitat, the Health Public Administration of the Comunidad Valenciana Regional Government