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

CORONABED.BOT: an Automation Project Using Artificial Intelligence for Early Diagnosis of Clinical Evolution From SARS-CoV-2"

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).

Study Overview

• Status: Completed
• Conditions: SARS-CoV-1 Infection
• Intervention / Treatment: Other: Artificial Intelligence methods

• Study Type: Observational
• Enrollment (Actual): 8000

Contacts and Locations

Study Locations

• Italy
  • Rome, Italy, 00168
    • Fondazione Policlinico Gemelli

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: No

• Sampling Method: Probability Sample

Study Population

adult patients

Description

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:

• aaaa

Study Plan

How is the study designed?

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
the implementation of prediction models	tThe DataMart built will allow the creation of predictive models both for diagnosis of SARS-coV-2 pneumonia as well as death	24 months

Collaborators and Investigators

• Sponsor: Fondazione Policlinico Universitario Agostino Gemelli IRCCS
• Investigators: Principal Investigator: Rita Murri, Fondazione Policlinico Universitario A. Gemelli, IRCCS

Study record dates

Study Major Dates

• Study Start (Actual): December 1, 2020
• Primary Completion (Actual): June 15, 2023
• Study Completion (Actual): January 10, 2024

Study Registration Dates

• First Submitted: March 16, 2023
• First Submitted That Met QC Criteria: March 16, 2023
• First Posted (Actual): March 28, 2023

Study Record Updates

• Last Update Posted (Actual): March 25, 2025
• Last Update Submitted That Met QC Criteria: March 10, 2025
• Last Verified: March 1, 2025

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Respiratory Tract Infections; Infections; RNA Virus Infections; Virus Diseases; Respiratory Tract Diseases; Coronavirus Infections; Coronaviridae Infections; Nidovirales Infections; Severe Acute Respiratory Syndrome
• Other Study ID Numbers: CORONABED.BOT-COVID19- 3447

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No