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OpenTrials
Completed

NCT Number: NCT05787405

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).

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Key information

Conditions

SARS-CoV-1 Infection Coronaviridae Infections Coronavirus Infections Infections Nidovirales Infections RNA Virus Infections Respiratory Tract Diseases Respiratory Tract Infections Severe Acute Respiratory Syndrome Virus Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Fondazione Policlinico Gemelli

Rome, 00168, Italy

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Artificial Intelligence methods

Other

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.

Primary outcomes

  1. the implementation of prediction models

    Time frame: 24 months

    tThe DataMart built will allow the creation of predictive models both for diagnosis of SARS-coV-2 pneumonia as well as death

Sponsors and collaborators

Lead sponsor

Fondazione Policlinico Universitario Agostino Gemelli IRCCS

Other

Registry information

Official study title

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

Acronym: CORONABEDBOT

Important dates

Study start
2020
Primary completion
2023
Study completion
2024
First posted
Mar 28, 2023
Registry last updated
Mar 12, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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