Location
Online
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2023 12:00 AM
End Date
7-1-2023 12:00 AM
Description
Telemedicine has drawn noticeable attention due to the advancement of information technology, and it saw a surge in popularity during the COVID-19 pandemic. This study is aimed at understanding telemedicine users’ perceptions on their care services, as well as identifying the aspects of telemedicine that can be improved to enhance users’ experience and satisfaction. Specifically, we utilized a topic modeling approach with Latent Dirichlet Allocation (LDA) to analyze telemedicine-related discussion posts on Reddit to discover the topics and themes that telemedicine service users are interested in, as well as the perceptions that users have of those topics and themes. 11 topics and 6 themes were discovered by the LDA algorithm. Lastly, we provide our suggestions and insights on how telemedicine services and practitioners can implement the themes, as well as directions for future study.
Recommended Citation
Shang, Yanyan; Kim, J.B. (Joo Baek); and Shin, Soo Il, "Understanding telemedicine service users’ perceptions: A text mining analysis on social media discussion" (2023). Hawaii International Conference on System Sciences 2023 (HICSS-56). 4.
https://aisel.aisnet.org/hicss-56/hc/social_media/4
Understanding telemedicine service users’ perceptions: A text mining analysis on social media discussion
Online
Telemedicine has drawn noticeable attention due to the advancement of information technology, and it saw a surge in popularity during the COVID-19 pandemic. This study is aimed at understanding telemedicine users’ perceptions on their care services, as well as identifying the aspects of telemedicine that can be improved to enhance users’ experience and satisfaction. Specifically, we utilized a topic modeling approach with Latent Dirichlet Allocation (LDA) to analyze telemedicine-related discussion posts on Reddit to discover the topics and themes that telemedicine service users are interested in, as well as the perceptions that users have of those topics and themes. 11 topics and 6 themes were discovered by the LDA algorithm. Lastly, we provide our suggestions and insights on how telemedicine services and practitioners can implement the themes, as well as directions for future study.
https://aisel.aisnet.org/hicss-56/hc/social_media/4