This paper is in the following e-collection/theme issue:

Theme Issue: Medical Informatics and COVID-19 (117) JMIR Theme Issue: COVID-19 Special Issue (2491) Digital Health, Telehealth and e-Innovation in Clinical Settings (471) Clinical Communication, Electronic Consultation and Telehealth (674) Outbreak and Pandemic Preparedness and Management (1779)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25435, first published .
Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-sectional Survey Study

Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-sectional Survey Study

Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-sectional Survey Study

Authors of this article:

Min Ho An1 Author Orcid Image ;   Seng Chan You2 Author Orcid Image ;   Rae Woong Park2, 3 Author Orcid Image ;   Seongwon Lee2 Author Orcid Image
Article Authors Cited by (53) Tweetations (4) Metrics

Min Ho An   1 * , MD ;   Seng Chan You   2 * , MD, MS ;   Rae Woong Park   2, 3 , MD, PhD ;   Seongwon Lee   2 , PhD

1 So-Ahn Public Health Center, Jeon-ra-nam-do, Korea, Republic of

2 Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea, Republic of

3 Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea, Republic of

*these authors contributed equally

Corresponding Author:

  • Seongwon Lee, PhD
  • Department of Biomedical Informatics
  • Ajou University School of Medicine
  • 164, World cup-ro, Yeongtong-gu
  • Suwon, 16499
  • Korea, Republic of
  • Phone: 82 31 219 4471
  • Fax: 82 31 219 4472
  • Email: seongwon.lee.16@gmail.com