Accurate documentation is essential in elective eye surgery, where outcomes may affect patients for decades. At Blue Fin Vision®, consultations are supported by secure AI-assisted transcription tools that generate structured clinical notes in real time.
This improves completeness by capturing discussions about risks, alternatives, and patient questions as they occur, rather than relying on retrospective recall. ¹ Clinicians remain fully responsible for reviewing, editing, and approving all entries, ensuring that records accurately reflect what was discussed and agreed, with any transcription errors corrected before finalisation. ²
Evidence suggests that AI-assisted documentation can improve record quality and efficiency when deployed with appropriate governance, validation, and privacy safeguards. ¹ ² In this context, AI acts solely as a documentation aid. It does not determine suitability for surgery, generate clinical decisions, or replace professional judgement. ³
Used appropriately, AI-assisted notes support transparency by creating a clear, contemporaneous record of consent discussions and clinical reasoning. ¹
References
- Downing NL, Bates DW, Longhurst CA. Improving clinical documentation with artificial intelligence. JAMA. 2024;331(20):1713-1714. doi:10.1001/jama.2024.5846.
- Wachter RM, Howell MD, Reilly BM. Beyond human ears: navigating the uncharted risks of AI scribes. npj Digit Med. 2025;8:238. doi:10.1038/s41746-025-01895-6.
- Khairat S, Marc D, Crosby W, Al Sanousi A. Reasons for physicians not adopting clinical decision support systems. JMIR Med Inform. 2018;6(2):e24. doi:10.2196/medinform.8896.
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