AI in PRImary Care Spirometry Pathways for Diagnosis of Lung Disease (APRIL)

NCT05865249 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 63

Last updated 2024-01-16

No results posted yet for this study

Summary

To investigate the feasibility of performing a future real-world randomised controlled trial to determine the clinical effectiveness of ArtiQ.Spiro in supporting diagnostic performance of primary care staff in the interpretation of spirometry

Conditions

  • Lung Diseases

Interventions

OTHER

Spirometry decision support software (ArtiQ.Spiro)

ArtiQ.Spiro is a decision support software that combines two sub-components - one focussing on quality assessment (ArtiQ.QC), and one on spirometry interpretation (ArtiQ.PFT). It is intended to be used as an adjunct to spirometry to assist with the grading of spirometry quality and the interpretation of spirometry by providing the probability of six disease / or no disease categories.

Sponsors & Collaborators

  • National Institute for Health Research, United Kingdom

    collaborator OTHER_GOV
  • Royal Brompton & Harefield NHS Foundation Trust

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-06-03
Primary Completion
2024-01-22
Completion
2024-04-01

Countries

  • United Kingdom

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 NCT05865249 on ClinicalTrials.gov