CORONABED.BOT -COVID-19: an Automation Project Using Artificial Intelligence for Early Diagnosis of Clinical Evolution From SARS-CoV-2"

Recruiting

• Conditions: SARS-CoV-1 Infection

• Registration Number: NCT05787405
• Lead Sponsor: Fondazione Policlinico Universitario Agostino Gemelli IRCCS

Brief Summary

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).

Detailed Description

Not available

Basic Information
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Recruitment & Eligibility
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Study & Design
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Trial Locations

Study Timeline

• Study Start: 2020-12-01
• Status Verified: 2023-03
• Study First Submitted: 2023-03-16
• Study First Submitted QC: 2023-03-16
• Study First Posted: 2023-03-28
• Last Update Submitted: 2023-03-28
• Last Update Posted: 2023-03-30
• Primary Completion: 2025-06-15
• Study Completion: 2025-12-30

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 8000

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).

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Exclusion Criteria

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Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

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

Trial Locations

Locations (1)

Fondazione Policlinico Gemelli; 🇮🇹 Rome, Italy