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

Theme Issue: Medical Informatics and COVID-19 (107) JMIR Theme Issue: COVID-19 Special Issue (2461) Digital Health, Telehealth and e-Innovation in Clinical Settings (421) Clinical Communication, Electronic Consultation and Telehealth (617) Outbreak and Pandemic Preparedness and Management (1743)

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 (47) Tweetations (4) Metrics

Journals

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  7. Fitri Kinasih Husnul Khotimah , Fahmi I, Sri Hartono . The Antecedents of Intention to Use Telemedicine. Journal of Consumer Sciences 2022;7(2):97 View
  8. Antoniou K, Vasarmidi E, Russell A, Andrejak C, Crestani B, Delcroix M, Dinh-Xuan A, Poletti V, Sverzellati N, Vitacca M, Witzenrath M, Tonia T, Spanevello A. European Respiratory Society statement on long COVID follow-up. European Respiratory Journal 2022;60(2):2102174 View
  9. Li W, Shen S, Yang J, Guo J, Tang Q. Determinants of Satisfaction With Hospital Online Appointment Service Among Older Adults During the COVID-19 Pandemic: A Cross-Sectional Study. Frontiers in Public Health 2022;10 View
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  21. Heriana C. Analysis of Receiving Surveillance Information System for Public Health Centre (SISPHEC.ID Application) using Technology Acceptance Model (TAM) at Kuningan District, Indonesia. Medical Technology and Public Health Journal 2023;7(1):89 View
  22. Lesport Q, Joerger G, Kaminski H, Girma H, McNett S, Abu-Rub M, Garbey M. Eye Segmentation Method for Telehealth: Application to the Myasthenia Gravis Physical Examination. Sensors 2023;23(18):7744 View
  23. Alsahli S, Hor S, Lam M. Factors Influencing the Acceptance and Adoption of Mobile Health Apps by Physicians During the COVID-19 Pandemic: Systematic Review. JMIR mHealth and uHealth 2023;11:e50419 View
  24. Pramudita E, Achmadi H, Nurhaida H. Determinants of behavioral intention toward telemedicine services among Indonesian Gen-Z and Millenials: a PLS–SEM study on Alodokter application. Journal of Innovation and Entrepreneurship 2023;12(1) View
  25. Dandapani H, Davoodi N, Serina P, Keene S, Goldberg E. Telehealth during COVID-19: Perspectives on Usability by US Physicians. Journal of Brown Hospital Medicine 2023;2(3) View
  26. Hinkle J, Bove L, Roberto A, Arms T, Rowan N, Sigmon L. An Innovative Nurse Practitioner Curricular Design Using an Adaptive Learning Platform, Adaptive Case Studies, and Telehealth Simulations: A Feasibility Study. SAGE Open Nursing 2023;9 View
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Books/Policy Documents

  1. Wong B, Vengusamy S, Bastrygina T. Artificial Intelligence, Big Data, Blockchain and 5G for the Digital Transformation of the Healthcare Industry. View