Detailed Description:

This is a feasibility study for a larger multicentre randomised controlled trial (RCT) assessing the impact of the ArtiQ.Spiro software on diagnostic accuracy, care processes, patient and health economic outcomes. The primary objective of this study is to assess the feasibility of a future randomised controlled trial designed to evaluate the real-world clinical effectiveness of an artificial intelligence enabled software to support the diagnostic interpretation and quality assessment of primary care spirometry. Endpoints of the current study will be focused on feasibility and acceptability outcomes. Secondary objectives of this study are to collect data on potential clinical and health economic endpoints for a future randomised controlled trial designed to evaluate the real-world clinical effectiveness of an artificial intelligence enabled software to support the diagnostic interpretation and quality assessment of primary care spirometry. This will help determine the primary endpoint for a future trial and provide data to support a sample size calculation to ensure that any future trial will have adequate power. This is a mixed methods randomised controlled feasibility trial. In PICO format: Population: Individuals with respiratory symptoms referred clinically for primary care spirometry in Hillingdon, Leicestershire, West Hampshire. Intervention: Local primary care spirometry pathway supported by additional artificial intelligence enabled software (ArtiQ.Spiro) Control: Local primary care spirometry alone. Outcomes: Feasibility outcomes with a particular focus on recruitment and retention, and acceptability of intervention and trial design. Clinical outcomes including referrer diagnostic performance and patient health status. Health economic outcomes including health care usage and economic modelling. All participants will undergo their locally agreed spirometry pathway.}}