Spirometry Interpretation Performance of Primary Care Clinicians With/Without AI Software

Launched by ROYAL BROMPTON & HAREFIELD NHS FOUNDATION TRUST · Jun 27, 2023

Keywords

ClinConnect Summary

This clinical trial is looking at whether an artificial intelligence (AI) tool called ArtiQ.Spiro can help primary care doctors and nurses better interpret lung function tests known as spirometry. Spirometry is a common test that measures how well your lungs are working, which is important for diagnosing lung diseases. The goal is to see if using this AI software improves the accuracy of the doctors’ and nurses' diagnoses compared to a standard reference.

The trial is currently recruiting participants, specifically primary care clinicians in the UK who spend at least half of their work time in general practice and are involved in ordering or performing spirometry tests. To join, these clinicians need to have access to the study's online platform and provide their consent to participate. However, clinicians who are specialists in respiratory medicine cannot take part. By joining this study, participants will help determine if AI can make diagnosing lung conditions more accurate, which could ultimately lead to better patient care.

Gender

ALL

Eligibility 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