A Literature Review of Telemedicine in Indonesia: Past, Present, and Future Prospective

Wijaya, Jeremiah Hilkiah; Octavius, Gilbert Sterling; Hwei, Lie Rebecca Yen

doi:10.20473/jaki.v10i2.2022.261-272

Cited by 3 publications

(2 citation statements)

References 32 publications

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“…Telehealth Usability Questionnaires had six components and 21 items such as usefulness (items 1-3), ease of use and learnability (items 4-6), interface quality (items 7-10), interaction quality (11)(12)(13)(14), reliability (item 15-17), and satisfaction and future use (item [18][19][20][21]. The term usefulness was used in this survey to describe how respondents thought the telehealth system worked to deliver a healthcare engagement that was akin to a regular in-person encounter.…”

Section: Translation Of Telehealth Usability Questionnaire (Tuq) Into...mentioning

confidence: 99%

“…18 Numerous studies have been done outside of Indonesia to delineate the barriers to entry, benefits, and downsides from both patients' and doctors' perspectives. 19,20 However, very few studies have been done about telemedicine, especially in Indonesia. The lack of a standardized questionnaire in the Indonesian language is one of the problems in conducting a study.…”

Section: Introductionmentioning

confidence: 99%

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Validation of Indonesian Version of Telehealth Usability Questionnaire (TUQ)

Octavius,

Yanto

2023

J Community Empowerment for Health

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Introduction: Indonesia is the 4th most populous country globally, with 250 million people spread across 17.508 islands. Despite its strong economic growth, the disparity in poverty increases as the cost of medical care shot up. With inadequate medical care worker-to-patient ratio, telehealth is an alternative to providing healthcare in rural areas with similar or even better satisfaction rates. The lack of a standardized questionnaire in the Indonesian language encouraged the authors to validate Telehealth Usability Questionnaire (TUQ) into the Indonesian language.Methods: A cross-sectional study was done while translation and adaptation of telehealth usability questionnaires were made according to WHO protocol.Results: A total of 102 respondents' data were obtained, which comprised 73.5% female. The overall alpha coefficient was 0.958. The Kaiser–Meyer–Olkin (KMO) sampling test was satisfactory (KMO = 0.926), and the Bartlett test of sphericity was significant (Chi-square = 1835.043; df = 210; p < 0.001). Ease of use and learnability had the highest Cronbach's alpha coefficient (0.907), while reliability had the lowest Cronbach's alpha coefficient (0.794).Conclusion: In conclusion, this questionnaire is one of the first ones, if not the first one, to be validated in the Indonesian language. This set of questions will help assess the usability of the expanding number of telehealth programs available in Indonesia and allow comparisons to determine which features make them more acceptable to users

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Section: Translation Of Telehealth Usability Questionnaire (Tuq) Into...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validation of Indonesian Version of Telehealth Usability Questionnaire (TUQ)

Octavius,

Yanto

2023

J Community Empowerment for Health

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Assessment of robotic telesurgery system among surgeons: a single-center study

Rudiman,

Mirbagheri,

Candrawinata

2023

J Robotic Surg

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The field of robotic-assisted surgery is expanding rapidly; therefore, future robotic surgeons will need to be trained in an organized manner. Here, we aimed to examine surgeon performance on the Sinaflex Robotic Telesurgery System for correlation with training hours spent in training program. This is a prospective study of a single-center experience at the Hasan Sadikin Hospital, Bandung City of West Java, Indonesia. We included 43 surgeons from 11 departments, all invited to train using the Sinaflex Robotic Telesurgery system at the Hasan Sadikin Hospital. All study cohorts have never performed a robotic surgery procedure beforehand and have had at least five years of field experience. The surgeons were free to choose their training duration and simulation. After finishing the training session, they were asked to perform several tasks with increasing difficulty levels. There were nine training tasks in total with increasing levels of difficulty. A total of 43 surgeons from 11 different department were included in this prospective study. Our study was separated into 3 different batches and most surgeons failed to pass the examination (n = 12, 8, and 9, for batches 1, 2, and 3, respectively). The “failed” surgeon, additionally, tended to be older than the “passed” cohort (49.3 ± 7.4 vs 42.1 ± 7.3 years old, p = 0.005). In terms of duration of hours spent training on the robot, there was little difference training hours between the cohort that passed and the cohort that failed cohort (10.0 [8.4–10.1] vs 10.0 [8.0–10.0], respectively) with a p value of 0.265. We found no correlation between the total hours spent in the training program and surgeon performance on the Sinaflex robotic telesurgery system. Structured robot surgical training courses must be incorporated into the training programs.

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Enhanced Light‐Gradient Boosting Machine (GBM)‐Based Artificial Intelligence‐Blockchain‐Based Telesurgery in Sixth Generation Communication Using Optimization Concept

S.,

K. S.

2024

Journal of Electrical and Computer Engineering

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Telesurgery and robotic surgery are two real‐time mission‐critical applications where Artificial Intelligence (AI) has a lot of perspective. In this work, a blockchain‐ and AI‐powered telesurgery system for 6 G communication is suggested, which describes a transparent, safe, self‐managing, and trustworthy structure having massive Ultra‐Reliable Low‐Latency Communication (mURLLC). The condition is categorized using AI methods like Enhanced Light GBM, whose criticality scores range from 0 to 1 (after the predicted output, the criticality score of the corresponding disease is divided into high critical, medium critical, and low critical on the basis of the scores that range from 0 to 1). Here, the parameter tuning in light GBM is performed using the Tasmanian Devil Optimization (TDO) with the consideration of attaining the fitness function and thus referred to as Enhanced Light GBM. This proposed novel Enhanced Light GBM predicts the final output based on the criticality scores. In the future, recent deep learning algorithms can be considered for drone‐assisted telesurgery framework together with the consideration of hybrid optimization algorithms. The proposed Enhanced Light GBM‐TDO model for the drone‐oriented telesurgery framework with respect to prediction accuracy is 3.22%, 3.11%, 1.84%, 3.40%, 2.26%, and 1.15% advanced than Aayush, Habits, BATS, CSIMH, MGA, and heuristic approach, respectively.

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A Literature Review of Telemedicine in Indonesia: Past, Present, and Future Prospective

Cited by 3 publications

References 32 publications

Validation of Indonesian Version of Telehealth Usability Questionnaire (TUQ)

Validation of Indonesian Version of Telehealth Usability Questionnaire (TUQ)

Assessment of robotic telesurgery system among surgeons: a single-center study

Enhanced Light‐Gradient Boosting Machine (GBM)‐Based Artificial Intelligence‐Blockchain‐Based Telesurgery in Sixth Generation Communication Using Optimization Concept

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