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SENSING-AI in Patients With Long COVID (SENSING-AI)

NCT06247332 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 103

Last updated 2025-02-18

No results posted yet for this study

Summary

The retrospective study will be used to develop an artificial intelligence model of risk stratification of physiological and psychological complications arising from the information available in the electronic medical record and first consultation report to support patients and healthcare professionals in better managing the healthcare process for patients diagnosed with long COVID.

Conditions

  • Post-acute COVID-19 Syndrome

Interventions

OTHER

Review of available clinical data sources related to use cases

There will be a review of available clinical data sources related to use cases. In addition, this information will be complemented by a cohort of anonymized retrospective data of 100 cases obtained from the clinical information resulting from the assistance to COVID-19 patients managed by the Primary Care Health District of Sevilla Norte and the Infectious Diseases Department of the Virgen Macarena University Hospital

Sponsors & Collaborators

  • Hospital Universitario Virgen Macarena

    collaborator OTHER

  • Adhera Health, Inc.

    lead INDUSTRY

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-01-18
Primary Completion
2022-02-25
Completion
2022-02-25

Countries

  • Spain

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06247332 on ClinicalTrials.gov