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This study analysedmobile telemedicine application’s users in Jakarta towards their behaviours intention to recommend the applications to others. Using Unified Theory Acceptance and Use of Technology 2 (UTAUT2), Diffusion of Innovation, and Perceived Technology Security (PTS) would eventually explain their continuance usage and intention to recommend. This study targeted 384 respondents as samples and used random sampling to collect data using online questionnaires. The study used Structural Equation Modelling (SEM) Partial Least Square (PLS) with WarpPLS 7.0 for analysing data. Determinant factors that affect Mobile Telemedicine Application’s users’ behaviours will eventually help the health care workers and the application system providers to deliver a better patient centric, convenience and reliable applications especially during COVID-19 pandemic. This study revealed performance expectancy, price value, compatibility, and perceived technology security as significant factors influencing continuance usage, and continuance usage as a significant factor influencing intention to recommend mobile telemedicine.

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