Source: The Next Web
AI transcription tools deployed in UK hospitals are introducing systematic medical errors into patient records—misidentifying drug names and clinical diagnoses at scale—creating a compounding liability problem as these corrupted records migrate through the healthcare system. The NHS's adoption of AI assumes automation reduces human error without accounting for the specific domain knowledge required to catch AI hallucinations in high-stakes clinical contexts. Healthcare systems will likely need to implement costly human review layers, which defeats much of the efficiency argument for AI scribes.