Covid-19 Triage Using Camera-based AI

NCT ID: NCT04383457

Last Updated: 2023-06-22

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

214 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-06-15

Study Completion Date

2020-10-08

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The vital signs are critical in assessing the severity and prognosis of infections, such as Covid-19. The devices used today for measuring the vital signs have to be in physical contact with the patients. There is an apparent risk of transferring infections from one patient to the next (or to healthcare professionals).

This project aims to evaluate a new camera-based system for contactless measurement of vital signs as well as an artificial intelligence (AI) predicting hospitalization or death within 30 days. This particular study will evaluate the new system's ability without interfering with standard care of the patient.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Background and aim:

The vital signs are critical in assessing the severity and prognosis of infections, i.e., Covid-19, influenza, sepsis and pneumonia. Quick and accurate triage is critical when facing a pandemic with an overwhelming number of cases (confirmed and suspected). This study aims a) to evaluate a new method for rapid camera-based non-contact measurement of five vital signs; body temperature, heart rate, blood oxygen saturation, respiratory rate, and blood pressure, and b) if an AI can predict hospitalization or death within 30 days.

Methods:

A method-comparison study design is used comparing each vital sign measured with the new method to the corresponding standard reference method. Furthermore, a cohort design is used to follow up any hospitalization or death within 30 days. The investigated new system consists of a high-speed digital video camera, a digital radiometric infrared camera, LED lights and a computer for data recording. This system faces the subject at a distance of approximately one meter, capturing a 30 second recording of the subject's face. First, all vital signs will be measured using one set of reference devices. Secondly the investigated device will record a 30 second video of the patient's face. Thirdly, and last, all vital signs will be measured using the same set of reference devices. A copy of the vital sign readings (using the standard reference methods) will be handed over by an investigator to the clinical professionals responsible for the subsequent medical care for each subject. Afterwards, the collected 30-second recordings will be run through specific software algorithms to extract the vital signs. The results from the new camera-based contactless measurement of vital signs and the outcome of the AIs prediction of risk for hospitalization or death will not be presented in the care situation of the patient.

Expected Findings:

It is expected that the proposed study will show that the new method can estimate body temperature, heart rate, respiratory rate, blood oxygen level, and blood pressure with an acceptable agreement compared with the reference method and also estimate hospitalization or death within 30 days.

Implications of the expected findings:

Being able to measure vital signs quicker than before by using a new contactless method would greatly facilitate triage of large number of patients. Also being able to predict hospitalization or increased risk for death would further improve the triage of patients.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Coronavirus Infections

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

RIA-device (Remote Investigation and Assessment)

The investigated new system consists of a high-speed digital video camera, a digital radiometric infrared camera, LED lights and a computer for data recording. This system faces the subject at a distance of approximately one meter, capturing a 30 second recording of the subject's face.

Intervention Type DEVICE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

1. The patient is attending for triage presenting with symptoms of an infection.
2. Subject has provided informed consent
3. Age ≥18 years
4. Fluent in Swedish (reading, writing, conversational)
5. Mental state is such that he or she is able to understand and give informed consent to participation in the study by signing the Information and Consent Form
6. The investigator determines that the new method, and the reference methods, can be used as intended with adequate reliability and safety
7. The time for investigations in this study is estimated to approximately 15-20 minutes. Vital signs will be handed over to the care provider responsible for the further management of the patient saving approximately 5-10 minutes of their time. Hence, the delay in the management of each patient introduced by this study is approximately 10 minutes. Patients deemed being in such a severe medical condition on arrival, that 10 minutes of delay is deemed detrimental will not be included.

Exclusion Criteria

1. Depressed level of consciousness from inclusion up until all investigations are completed (during approximately 15-20 minutes).
2. Patient request to be withdrawn from the study.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Detectivio AB

UNKNOWN

Sponsor Role collaborator

Vastra Gotaland Region

OTHER_GOV

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Ronny K Gunnarsson, MD PhD

Role: PRINCIPAL_INVESTIGATOR

Primary Health care, Regionhalsan, Region Vastra Gotaland, Sweden

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Östra Sjukhuset

Gothenburg, , Sweden

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Sweden

References

Explore related publications, articles, or registry entries linked to this study.

Malmberg S, Khan T, Gunnarsson R, Jacobsson G, Sundvall PD. Remote investigation and assessment of vital signs (RIA-VS)-proof of concept for contactless estimation of blood pressure, pulse, respiratory rate, and oxygen saturation in patients with suspicion of COVID-19. Infect Dis (Lond). 2022 Sep;54(9):677-686. doi: 10.1080/23744235.2022.2080249. Epub 2022 Jun 1.

Reference Type RESULT
PMID: 35651319 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

U1111-1251-4114

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

COVID-19 Remote Monitoring
NCT04350476 WITHDRAWN NA