The Potential Implementation of Telemedicine in Frontier, Outmost, and Underdeveloped Region of Indonesia

Wahab, Riva'atul Adaniah; Kusumawardani, Qur’ani Dewi; Wijaya, Feki Pangestu

doi:10.1109/ic-ictrudev50538.2021.9656502

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…[57], [59]. The services included consultations, diagnoses, treatments, medical data exchange, evaluations, and prevention of disease and injuries [16], [57], [58], [60], [61]. Basically, telemedicine is a technology-based service that utilizes the advancement of information technology and communication, such as video conferencing, smartphones, and other communication technology tools, such as multimedia and computer network technology, to deliver and support medical applications and services [58], [62].…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Adoption of Telemedicine for Virtual Healthcare Services in Indonesia

Alviani

Purwandari

Eitiveni

et al. 2023

J. Inf. Syst. Eng. Bus. Intell.

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Background: The utilization of virtual healthcare services, particularly telemedicine, has been accelerated by the COVID-19 pandemic. Although the pandemic is no longer the primary concern, telemedicine still holds potential for long-term adoption. However, implementing telemedicine in Indonesia as an online platform for remote healthcare delivery still faces issues, despite its potential. Further investigation is required to identify the factors that affect its adoption and develop strategies to surmount implementation challenges. Objective: This study aims to examine and enrich knowledge about the adoption of telemedicine in Indonesia. Methods: A cross-sectional survey was conducted through an online questionnaire to collect data. Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was employed by integrating with several factors, such as eHealth Literacy, Privacy Concerns, and Trust. Gender and age were considered as moderating variables. Data samples were analyzed using Partial Least Square – Structural Equation Modeling (PLS–SEM). Results: The findings suggest that performance expectancy, effort expectancy, social influence, eHealth literacy, and trust have a significant impact on adults’ behavioral intention to use telemedicine. However, facilitating condition, price value, and privacy concern do not show any significant effects on adults’ Behavioral Intention to Use Telemedicine. Conclusion: This study highlights the importance of understanding adoption factors to develop effective strategies. Results show performance expectancy, effort expectancy, social influence, eHealth literacy, and trust are significant factors, while facilitating condition, price value, and privacy concern are not. The UTAUT2 model is a good predictive tool for healthcare adoption. To increase usage intention, several aspects must be considered in the implementation of telemedicine. Keywords: Adoption, Behavioral Intention to Use, Telemedicine, UTAUT2, Virtual Healthcare.

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Section: Introductionmentioning

confidence: 99%

Factors Affecting Adoption of Telemedicine for Virtual Healthcare Services in Indonesia

Alviani

Purwandari

Eitiveni

et al. 2023

J. Inf. Syst. Eng. Bus. Intell.

View full text Add to dashboard Cite

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“…As such, there is a need to minimize longer transmission times. The telecommunication infrastructure in recent times that supports telemedicine applications makes use of an optical network as a backbone [64,66] in addition to linking different hospital centers in different locations [67]. This can beattributed to the high availability of bandwidth they possess.…”

Section: Optical Networkingmentioning

confidence: 99%

Maximizing Network Capacity, Control and Management in Designing a Telemedicine Network: A Review and Recent Challenges

Sadiq,

Zakariyya,

Buhari

et al. 2024

AfricArXiv

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Telemedicine networks have seen significant changes in their capacity, monitoring, management, and control framework during the previous decades. The evolution of network capacity, control, and management for Unmanned Aerial Vehicle (UAV) & Software-Defined Networks (SDN) as support to telemedicine, artificial intelligence in telemedicine networks, and capabilities in designing a telemedicine network with respect to its performance and customization is presented in this study, with a historical history and a future view. The first section of the article goes over the history of traffic and capacity expansion, as well as future projections. By introducing a medical and image data communication protocol for telemedicine, the second section examines the technological constraints of expanding capacity in the era of UAV & software defined networking. The third section discusses ways to maximize network capacity by considering quality of service (QoS) capacity issues. Finally, the article explores how to construct a telemedicine network that can provide performance, customization, and capabilities to keep up with increased traffic in the coming decades. Research gaps and future directions were presented in the last section.

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“…As such, there is a need to minimize longer transmission times. The telecommunication infrastructure in recent times that supports telemedicine applications makes use of an optical network as a backbone [64,66] in addition to linking different hospital centers in different locations [67]. This can be attributed to the high availability of bandwidth they possess.…”

Section: Optical Networkingmentioning

confidence: 99%

Maximizing network capacity, control and management in designing a telemedicine network: A review and recent challenges

Sadiq,

Zakariyya,

Buhari

et al. 2024

Nig. J. Tech.

View full text Add to dashboard Cite

Telemedicine networks have seen significant changes in their capacity, monitoring, management, and control framework during the previous decades. The evolution of network capacity, control, and management for Unmanned Aerial Vehicle (UAV) & Software-Defined Networks (SDN) as support to telemedicine, artificial intelligence in telemedicine networks, and capabilities in designing a telemedicine network with respect to its performance and customization is presented in this study, with a historical history and a future view. The first section of the article goes over the history of traffic and capacity expansion, as well as future projections. By introducing a medical and image data communication protocol for telemedicine, the second section examines the technological constraints of expanding capacity in the era of UAV & softwaredefined networking. The third section discusses ways to maximize network capacity by considering quality of service (QoS) capacity issues. Finally, the article explores how to construct a telemedicine network that can provide performance, customization, and capabilities to keep up with increased traffic in the coming decades. Research gaps and future directions were presented in the last section.

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The Potential Implementation of Telemedicine in Frontier, Outmost, and Underdeveloped Region of Indonesia

Cited by 7 publications

References 6 publications

Factors Affecting Adoption of Telemedicine for Virtual Healthcare Services in Indonesia

Factors Affecting Adoption of Telemedicine for Virtual Healthcare Services in Indonesia

Maximizing Network Capacity, Control and Management in Designing a Telemedicine Network: A Review and Recent Challenges

Maximizing network capacity, control and management in designing a telemedicine network: A review and recent challenges

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