A novel telemedicine technique for evaluation of ocular exam findings via smartphone images.


Journal

Journal of telemedicine and telecare
ISSN: 1758-1109
Titre abrégé: J Telemed Telecare
Pays: England
ID NLM: 9506702

Informations de publication

Date de publication:
Apr 2022
Historique:
pubmed: 9 6 2020
medline: 7 4 2022
entrez: 9 6 2020
Statut: ppublish

Résumé

In this study, we compared the assessment of remote smartphone photographs to in-office exams in the diagnosis of two groups of external eye diseases, red-eye pathology and post-operative eyelid surgery complications. Participants were examined and received an in-office diagnosis by either a corneal or oculoplastic specialist. After viewing an educational video on smartphone photography, the patient's companion then took a series of standardized photographs. Two additional corresponding specialists then made a separate diagnosis via the interpretation of only smartphone images and the patient's history. 'Remote' and in-office diagnoses were compared using a kappa test for agreement. The remote and in-office diagnoses were in agreement for 27 of 28 eyes, representing a chance-corrected Kappa agreement rate of 93% (95% confidence interval: 79-99%). Among the 16 red eyes, the diagnoses were in agreement for 15 of 16 red eyes, representing a chance-corrected Kappa agreement rate of 92% (95% confidence interval: 77-99%). Among the 12 eyes with post-operative eyelid surgery complications, the diagnoses were in perfect agreement. Our results suggest that the diagnosis of 1) red-eye pathology and 2) post-operative eyelid surgery complications based on smartphone images may be comparable to in-office exams.

Identifiants

pubmed: 32506998
doi: 10.1177/1357633X20926819
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

197-202

Auteurs

Joshua Sink (J)

Stritch School of Medicine, Loyola University Chicago, Maywood, USA.

Stephen Blatt (S)

Edward Hines Jr. VA Hospital, Hines, USA.

David Yoo (D)

Edward Hines Jr. VA Hospital, Hines, USA.
Department of Ophthalmology, Loyola University Chicago, Maywood, USA.

Michael Henry (M)

Department of Ophthalmology, Loyola University Chicago, Maywood, USA.

S Daniel Yang (SD)

Stritch School of Medicine, Loyola University Chicago, Maywood, USA.

Roshni Vasaiwala (R)

Department of Ophthalmology, Loyola University Chicago, Maywood, USA.

Larissa Ghadiali (L)

Edward Hines Jr. VA Hospital, Hines, USA.
Department of Ophthalmology, Loyola University Chicago, Maywood, USA.

William Adams (W)

Department of Public Health Sciences, Loyola University Chicago, Maywood, USA.

Charles S Bouchard (CS)

Department of Ophthalmology, Loyola University Chicago, Maywood, USA.

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Classifications MeSH