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COntinuous Signs Monitoring In Covid-19 Patients

NCT04581031 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 48

Last updated 2022-05-27

No results posted yet for this study

Summary

This is a pilot study to assess whether artificial intelligence (AI) combined with continuous vital signs monitoring from wearable sensors can predict clinically relevant outcomes in patients with suspected or confirmed Covid-19 infection on general medical wards.

Conditions

Interventions

DEVICE

Continuous vital sign monitoring - Isansys Patient Status Engine

CE marked wearable continuous vital signs monitors

OTHER

Machine Learning/AI Algorithm

Patient data will be subjected to machine learning/AI algorithms to determine whether algorithms may be beneficial as an early indication of patient's condition worsening.

Sponsors & Collaborators

  • Manchester University NHS Foundation Trust

    collaborator OTHER_GOV

  • Aptus Clinical Ltd.

    collaborator UNKNOWN

  • Zenzium Ltd.

    collaborator UNKNOWN

  • The Christie NHS Foundation Trust

    lead OTHER

Study Design

Allocation
NA
Purpose
OTHER
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
16 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-07-11
Primary Completion
2022-04-22
Completion
2022-04-22

Countries

  • United Kingdom

Study Locations

More Related Trials

Entities

Diseases

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 NCT04581031 on ClinicalTrials.gov