how automated healthcare fails, how you'd know, and what to do at each tier — every claim sourced, reviewed continuously
In a nationwide online survey of 1,003 UK GPs in August 2025, 141 used ambient AI scribes. Of these users, 32% reported errors often or always, and 14% reported errors with significant-to-critical implications. All figures are self-reported.
TierStudy; no tier. How tiers are assigned.
Blease and colleagues surveyed UK general practitioners recruited through Doctors.net.uk in August 2025 and published the results in BMJ Health & Care Informatics in 2026. Of 1,003 respondents, 14% (n=141) reported current use of ambient AI scribes, and 86% of users used Heidi Health. Among users, 80% reported less time on documentation and 55% rated the outputs as better than standard notes. The authors report that errors were 'common but usually minor': 32% (n=45) reported errors often or always, including 14% (n=20) with significant-to-critical implications. Errors were reported most often in multiparty consultations (38%), complex histories (35%) and non-English encounters (31%). As HealthManagement.org notes in its coverage, the reported effects on workload, note quality and error rates came from clinicians' own assessments rather than independent observation. The authors call for proactive regulation, consistent consent practices and independent evaluation.[1,2]
none documented; 20 users reported errors they judged to have significant-to-critical implications
Information only, not advice. FailSystems is an aggregation and synthesis of published sources. It is not consulting, engineering, legal, regulatory or medical advice, and using it creates no professional relationship. Health systems are complex and no approach fits every organisation: anything you adopt is your own decision, at your own risk, and should be checked against the current official sources and by qualified people who know your setting. Full disclaimer.