• Journal of the Korea Safety Management & Science
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• v.26 no.1
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• pp.1-8
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• 2024

This study explores the impact of technostress on the intention to use telemedicine applications (apps) in the post-COVID19 era, a period marked by the rapid popularization of such apps to mitigate COVID19 infection risks. Utilizing the Technology Acceptance Model (TAM), the study identifies variables and proposes a research model. A questionnaire survey involving 364 adults is analyzed through Partial Least Squares-Structural Equation Modeling. Results indicate positive significance for variables linked to the TAM (perceived usefulness, perceived ease of use, attitude, and intention to use). Notably, techno-complexity negatively affects perceived ease of use, while techno-unreliability negatively impacts perceived usefulness and ease of use. Surprisingly, techno-uncertainty has a positive effect on both perceived usefulness and ease of use. Techno-overload, although negatively impacting perceived usefulness and ease of use, does not reach statistical significance. The study underscores the need to consider both positive and negative aspects, including technostress, when evaluating telemedicine app usage. Additionally, recognizing the varying impact of technostress based on users' ICT(Information and Communication Technology) confidence levels is crucial. Overall, these findings contribute academically to telemedicine app adoption literature and hold industrial significance by providing a user perspective on these apps.

• Journal of Chest Surgery
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• v.55 no.2
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• pp.108-117
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• 2022

Background: The efficacy of telemedicine among cancer survivors is uncertain. The Smart After-Care Program (SAP), which is an interactive, smartphone-based remote health monitoring system, was developed to help patients manage their health after leaving the hospital. This study was designed to evaluate the efficacy of our remote health care program for lung cancer patients. Methods: We enrolled 50 patients with lung cancer. Self-monitoring devices were supplied to all patients, who were instructed to enter their daily vital signs and subjective symptoms to the Smart After-Care app. The app also provided information about rehabilitation exercises and a healthy diet for lung cancer patients. All patients received health counseling via telephone once a week and visited an outpatient clinic during weeks 6 and 12 to assess satisfaction with the SAP and changes in quality of life and physical performance. Results: Overall satisfaction with the SAP was very high (very good, 61.9%; good, 26.2%). In the multivariate analysis to identify factors affecting satisfaction, the distance between the patient's residence and the hospital was the only significant independent factor (p=0.013). Quality of life improved along all functional scales (p<0.05). Muscle strength significantly improved in the lower limbs (p=0.012). Two-minute walk distance also significantly improved (p=0.028). Conclusion: This study demonstrated that the SAP was acceptable for and supportive of patients with reduced pulmonary function after lung cancer treatment. The SAP was found to be particularly useful for patients living far from the hospital.

• Clinics in Shoulder and Elbow
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• v.24 no.3
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• pp.156-165
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• 2021

Background: This study aimed to determine: the perspectives of the patient cohort that underwent telehealth consultation and shoulder rehabilitation during coronavirus disease 2019 (COVID-19) and the differences in the patients' perspectives with the two different telehealth video applications (apps) used in the study. Methods: This is a prospective study carried out during the COVID lockdown period of April to July 2020. Thirty consecutive patients from the orthopedics department of a tertiary institute in India underwent their first-ever session of a video app-based (Zoom or WhatsApp) telehealth consultation with shoulder rehabilitation exercises on a handheld mobile, tablet, or laptop device. After the virtual consultation, the patients were sent a validated telehealth usability questionnaire (TUQ) to evaluate their perspectives. Scores obtained from the TUQ were the primary outcome measure. Results: The study was completed by 30 patients (16 men and 14 women) with an average age of 56 years (range, 20-77 years). The patients who contacted us during the lockdown period with either a stiff shoulder or a conservatively treated shoulder fracture were included in the study. The average TUQ score was 13.6 (median, 14.5; range, 6-21) out of a maximum of 21 points. Eighty percent of the patients were satisfied and found the telehealth service useful. Use of the Zoom app scored significantly higher (median, 17; average, 15.6) than the WhatsApp app (median, 8.5; average, 9.6) (p=0.004). Conclusions: Patients who received telehealth consultation and shoulder rehabilitation were overall satisfied. Telehealth apps with advanced video calling features such as Zoom should be preferred for higher patient satisfaction.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.69-90
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• 2023

The purpose of this study is to evaluate the service attributes and consumer reactions of telemedicine apps in South Korea and visualize their differentiation by constructing positioning maps. We crawled 23,219 user reviews of 6 major telemedicine apps in Korea from the Google Play store. Topics were derived by BERTopic modeling, and sentiment scores for each topic were calculated through KoBERT sentiment analysis. As a result, five service characteristics in the application attribute category and three in the medical service category were derived. Based on this, a two-dimensional positioning map was constructed through principal component analysis. This study proposes an objective service evaluation method based on text mining, which has implications. In sum, this study combines empirical statistical methods and text mining techniques based on user review texts of telemedicine apps. It presents a system of service attribute elicitation, sentiment analysis, and product positioning. This can serve as an effective way to objectively diagnose the service quality and consumer responses of telemedicine applications.