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Diagnostic Error in Neuro-ophthalmology: Avenues to Improve
in
Artificial intelligence
/ Differential diagnosis
/ Neuroimaging
/ Ophthalmology
/ Photography
/ Telemedicine
2022
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Diagnostic Error in Neuro-ophthalmology: Avenues to Improve
in
Artificial intelligence
/ Differential diagnosis
/ Neuroimaging
/ Ophthalmology
/ Photography
/ Telemedicine
2022
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Diagnostic Error in Neuro-ophthalmology: Avenues to Improve
Journal Article
Diagnostic Error in Neuro-ophthalmology: Avenues to Improve
2022
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Overview
Purpose of ReviewTo highlight potential avenues to reduce preventable diagnostic error of neuro-ophthalmic conditions and avoid patient harm.Recent FindingsRecent 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.SummaryDiagnostic 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.
Publisher
Springer Nature B.V
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