Dataset Information

Feasibility of Asynchronous and Automated Telemedicine in Otolaryngology: Prospective Cross-Sectional Study.

ABSTRACT:

Background

COVID-19 often causes respiratory symptoms, making otolaryngology offices one of the most susceptible places for community transmission of the virus. Thus, telemedicine may benefit both patients and physicians.

Objective

This study aims to explore the feasibility of telemedicine for the diagnosis of all otologic disease types.

Methods

A total of 177 patients were prospectively enrolled, and the patient's clinical manifestations with otoendoscopic images were written in the electrical medical records. Asynchronous diagnoses were made for each patient to assess Top-1 and Top-2 accuracy, and we selected 20 cases to conduct a survey among four different otolaryngologists to assess the accuracy, interrater agreement, and diagnostic speed. We also constructed an experimental automated diagnosis system and assessed Top-1 accuracy and diagnostic speed.

Results

Asynchronous diagnosis showed Top-1 and Top-2 accuracies of 77.40% and 86.44%, respectively. In the selected 20 cases, the Top-2 accuracy of the four otolaryngologists was on average 91.25% (SD 7.50%), with an almost perfect agreement between them (Cohen kappa=0.91). The automated diagnostic model system showed 69.50% Top-1 accuracy. Otolaryngologists could diagnose an average of 1.55 (SD 0.48) patients per minute, while the machine learning model was capable of diagnosing on average 667.90 (SD 8.3) patients per minute.

Conclusions

Asynchronous telemedicine in otology is feasible owing to the reasonable Top-2 accuracy when assessed by experienced otolaryngologists. Moreover, enhanced diagnostic speed while sustaining the accuracy shows the possibility of optimizing medical resources to provide expertise in areas short of physicians.

SUBMITTER: Cha D

PROVIDER: S-EPMC7575342 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Feasibility of Asynchronous and Automated Telemedicine in Otolaryngology: Prospective Cross-Sectional Study.

Cha Dongchul D Shin Seung Ho SH Kim Jungghi J Eo Tae Seong TS Na Gina G Bae Seonghoon S Jung Jinsei J Kim Sung Huhn SH Moon In Seok IS Choi Jaeyoung J Choi Jaeyoung J Park Yu Rang YR

JMIR medical informatics 20201019 10

<h4>Background</h4>COVID-19 often causes respiratory symptoms, making otolaryngology offices one of the most susceptible places for community transmission of the virus. Thus, telemedicine may benefit both patients and physicians.<h4>Objective</h4>This study aims to explore the feasibility of telemedicine for the diagnosis of all otologic disease types.<h4>Methods</h4>A total of 177 patients were prospectively enrolled, and the patient's clinical manifestations with otoendoscopic images were writ ...[more]

PMID: 33027033

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Dataset Information

Feasibility of Asynchronous and Automated Telemedicine in Otolaryngology: Prospective Cross-Sectional Study.

Background

Objective

Methods

Results

Conclusions

Publications

Feasibility of Asynchronous and Automated Telemedicine in Otolaryngology: Prospective Cross-Sectional Study.

Similar Datasets

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