Diagnostic Error in Neuro-ophthalmology: Avenues to Improve

Curr Neurol Neurosci Rep. 2022 Apr;22(4):243-256. doi: 10.1007/s11910-022-01189-4. Epub 2022 Mar 23.

Abstract

Purpose of review: To highlight potential avenues to reduce preventable diagnostic error of neuro-ophthalmic conditions and avoid patient harm.

Recent findings: Recent prospective studies and studies of patient harm have advanced our understanding. Additionally, recent studies of fundus photography, telemedicine, and artificial intelligence highlight potential avenues for diagnostic improvement. Diagnostic error of neuro-ophthalmic conditions can often be traced to failure to gather an adequate history, perform a complete physical exam, obtain adequate/appropriate neuroimaging, and generate a complete, appropriate differential diagnosis. Improving triage and identification of neuro-ophthalmic conditions by other providers and increasing access to subspecialty neuro-ophthalmology evaluation are essential avenues to reduce diagnostic error. Further research should evaluate the relationship between misdiagnosis and patient harm, and help identify the most impactful potential targets for improvement.

Keywords: Diagnostic error; Neuro-ophthalmology.

Publication types

  • Review

MeSH terms

  • Artificial Intelligence
  • Diagnostic Errors / prevention & control
  • Eye Diseases* / diagnosis
  • Humans
  • Neurology*
  • Ophthalmology*