Evaluating AI's impact on spirometry interpretation by primary care clinicians
A Randomized Controlled Trial Comparing Performance of Primary Care Clinicians in the Interpretation of SPIROmetry With or Without Artificial Intelligence Decision Support Software
This study is testing whether an AI tool can help primary care doctors make more accurate lung function tests to better diagnose lung diseases.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 228 (estimated) |
| Ages | 18 Years to 99 Years |
| Sex | All |
| Sponsor | Royal Brompton & Harefield NHS Foundation Trust Academic / other |
| Locations | 1 site (Uxbridge) |
| Trial ID | NCT05933694 on ClinicalTrials.gov |
What this trial studies
This study assesses whether an artificial intelligence decision support software, ArtiQ.Spiro, enhances the diagnostic accuracy of spirometry interpretations made by primary care clinicians. It involves a randomized controlled design where clinicians will interpret a set of 50 de-identified spirometry records, either with or without the AI software's assistance. The performance of clinicians will be measured against a reference standard to determine the effectiveness of the AI tool in improving diagnostic outcomes. The study aims to provide insights into the integration of AI in routine clinical practice for lung disease diagnosis.
Who should consider this trial
Good fit: Ideal candidates for this study are primary care clinicians in the UK who regularly refer for or perform spirometry.
Not a fit: Clinicians who have completed specialist training in respiratory medicine may not benefit from this study.
Why it matters
Potential benefit: If successful, this could lead to improved diagnostic accuracy for lung diseases in primary care settings.
How similar studies have performed: Other studies have shown promising results in using AI to enhance diagnostic accuracy in various medical fields, suggesting potential success for this approach.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Clinicians working in primary care (for at least 50% of their job plan) in the UK, who refer for or perform spirometry (typically GP, practice nurse) 2. Able to access spirometry traces on study platform 3. Provide written informed consent via study platform Exclusion Criteria: 1. Clinicians who have completed specialist training in respiratory medicine and recognised by the General Medical Council with a right to practise as a NHS consultant in respiratory medicine
Where this trial is running
Uxbridge
- Royal Brompton & Harefield Hospitals — Uxbridge, United Kingdom (Recruiting)
Study contacts
- Principal investigator: William Man — Royal Brompton & Harefield Hospitals
- Study coordinator: Ethaar El-Emir, PhD
- Email: e.el-emir@rbht.nhs.uk
- Phone: 01895 823737
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.