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In it, 133 primary care professionals reviewed 50 past spirometry records with or without the software. The external assessment group calculated sensitivity and specificity from trial data that the authors supplied in confidence. The committee found that sensitivity for asthma and COPD was higher with ArtiQ.Spiro and that specificity was similar in both arms. NICE allowed its use in the NHS for a three-year period of evidence generation, with a clinician making the final diagnosis. The committee noted that the trial sample was small and that few of its records showed normal spirometry. In a separate UK validation study, the software's sensitivity for normal cases was 33.3%. 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This evidence includes a UK-based randomised controlled trial using real-world evidence from primary care reviewed by primary care healthcare professionals. Most of the evidence suggests that using ArtiQ.Spiro could lead to better outcomes for people needing diagnostic spirometry and provide benefits to the NHS."},{"kind":"assessment report","citation":"National Institute for Health and Care Excellence. 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Digital technologies for applying algorithms to spirometry to support asthma and COPD diagnosis in primary care and community diagnostic centres: early-use assessment. HealthTech guidance HTG776, section 1: Recommendations. 2 April 2026.","title":"Digital technologies for applying algorithms to spirometry to support asthma and COPD diagnosis: recommendations","url":"https://www.nice.org.uk/guidance/htg776/chapter/1-Recommendations","date":"2026-04-02","written_by":"independent","quote":"The evidence for ArtiQ.Spiro is stronger than that for the other technologies included in this assessment. This evidence includes a UK-based randomised controlled trial using real-world evidence from primary care reviewed by primary care healthcare professionals. 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NICE allowed its use in the NHS for a three-year period of evidence generation, with a clinician making the final diagnosis. The committee noted that the trial sample was small and that few of its records showed normal spirometry. In a separate UK validation study, the software's sensitivity for normal cases was 33.3%. 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