Early Diagnosis of Clinical Evolution From SARS-CoV-2 (CORONABEDBOT)

Institute of Hospitalization and Scientific Care (IRCCS)

Status: Completed

Conditions: SARS-CoV-1 Infection

Treatments: Other: Artificial Intelligence methods

Study type: Observational

Funder types: Other

Identifiers

NCT05787405

CORONABED.BOT-COVID19- 3447

Details and patient eligibility

About

The aim of the CORONA.BOT project is to exploit the Artificial Intelligence methods of Generator Real World Data Facility to automatically extract structured and unstructured data from hospital databases and to implement an early risk assessment (warning system) regarding the negative outcome for patients infected with SARS-CoV-2.

The objective of CORONABED.BOT is to analyze the care pathways of patients from the same cohort as CORONA.BOT, in order to identify the total length of stay, intensive care occupations and flows between departments, based on variables demographics and first entry clinics Early identification of patients with symptoms compatible with SARS-CoV-2 infection will enable more rapid activation of isolation procedures, contact monitoring/contact history and decisions on the most appropriate clinical pathway in terms of type of treatment and unit. Similarly, the identification of factors correlated with worse outcomes will allow more effective planning for the use of critical resources (such as intensive care and others).

Enrollment: 8,000 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• adult patients (18 years of age or older)
• admitted to the Gemelli and Columbus Polyclinic
• diagnosis of SARS-CoV-2 infection (suspected cases will also be included).

Exclusion criteria

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