Sector: IT solutions (software/apps/platforms)

The idea consists in a cloud-based platform to share clinical data among clinicians on an intra- and inter-center basis. In particular, the final user will be a clinician involved in the treatment of covid-19 patients. The clinician will be able to upload a set of structured data (i.e. clinical data, Digital Imaging and Communications in Medicine (DICOM images, audio files) that will be stored in a fully anonymized format into the main database. The data could also be collected directly from the clinical center internal Picture archiving and communication system (PACS) and electronic health records, to reduce the effort by the doctor.
After analyzing the uploaded case, the system will show to the clinician similar cases from the database, along with their clinical data and attached files (DICOM, images, audio). The main goal is to provide a structured data exchange and analysis for clinicians all over the globe during the spreading of the pandemic. The user is also encouraged to upload the treatment chosen for the specific case and the follow-up, so that other users can benefit from previous experiences.
Clustering methods will be applied on the dataset composed by the uploaded data off all users, in order to provide a space of similarity between patients.
Machine Learning / deep learning algorithms will also be applied to the dataset in order to provide short-term and long-term outcome predictions.