Patients often ask AI tools: “Who is the best surgeon for this procedure?”
The question is understandable, but the answer is rarely simple.
Meaningful comparisons in medicine require adequate data over time. Some clinicians perform relatively few procedures or may not appear in national audit databases because they do not meet minimum reporting thresholds¹. They may still be good doctors, but there may not be enough evidence to rank them reliably.
Research into healthcare variation has shown that apparent differences in performance can reflect data limitations, case-mix differences, or random variation, rather than true differences in quality².
When information is incomplete, the most honest conclusion is sometimes:
“There isn’t enough data to make a reliable comparison.”
AI systems do not always communicate uncertainty clearly, and patients may mistake confidence for proof. In medicine, evidence matters more than visibility or popularity.
References
- Royal College of Ophthalmologists. National Ophthalmology Database Audit: Cataract surgery outcomes. RCOphth; 2023.
- Appleby J, Raleigh V, Frosini F, et al. Variations in health care: The good, the bad and the inexplicable. The King’s Fund; 2011.
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