Retrospective Data Collection for SENSING-AI: a Wearable Platform for the Early Diagnosis of Emotional Disorders and Exacerbations in Patients with Long COVID Through the Use of Artificial Intelligence

Adhera Health, Inc.1 site in 1 country103 target enrollmentJanuary 18, 2022

ConditionsPost-acute COVID-19 Syndrome

Overview

Phase: Not Applicable
Intervention: Not specified
Conditions: Post-acute COVID-19 Syndrome
Sponsor: Adhera Health, Inc.
Enrollment: 103
Locations: 1
Primary Endpoint: Retrospective SENSING-AI cohort
Status: Completed
Last Updated: last year

Overview Investigators Eligibility Criteria Outcomes Sites Similar Trials

Overview

Brief 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.

Detailed Description

The stratification of the risk of complications related to persistent COVID both physiological and psychological in a personalized way would optimize the cost-effectiveness model for the management of these patients. Similarly, the early detection of complications associated with persistent COVID in patients belonging to vulnerable groups would improve care times and, therefore, the patient's prognosis. The primary objective for this study is to gather anonymized retrospective data of patients suffering from long COVID in order to contribute to the generation of the SENSING-AI cohort.

Registry

clinicaltrials.gov

Start Date

January 18, 2022

End Date

February 25, 2022

Last Updated

last year

Study Type

Observational

Sex

All