1.Emerging New Era of Mobile Health Technologies.
Healthcare Informatics Research 2016;22(4):253-254
No abstract available.
Telemedicine*
3.Telemedicine and Cyber Hospital.
Journal of the Korean Medical Association 2000;43(11):1037-1044
No abstract available.
Telemedicine*
4.High Time to Discuss Future-Oriented Telemedicine.
Healthcare Informatics Research 2015;21(4):211-212
No abstract available.
Telemedicine*
5.Telehealth in the Developing World.
Healthcare Informatics Research 2010;16(2):140-141
No abstract available.
Telemedicine
6.The Era of Telemedicine.
Journal of the Korean Medical Association 1997;40(12):1687-1695
No abstract available.
Telemedicine*
9.Systematic and Collaborative Review of E-health Ecological Networks (SCREEN) Model
Mark André ; Blanco ; Janessa Bulanadi-Mamaril ; Joshua Jocson ; Vince Mercado ; John Paul Sevilla ; Rod Charlie Delos Reyes
Philippine Journal of Allied Health Sciences 2022;5(2):107-115
Due to the Covid-19 pandemic, occupational therapy services in the Philippines experienced a shift in service delivery. As face-to-face services were halted, E-health became the key solution for rendering rehabilitation services. Practitioners relied on their clinical judgment in accepting clients for this type of service delivery. The Systematic and Collaborative Review of E-health Ecological Networks or SCREEN is a model that may aid occupational therapists practicing in the pediatric setting and providing services through E-health. The SCREEN model will assist practitioners in deciding what type of service delivery would be beneficial for the client and if the therapist is equipped to provide E-health as a service. SCREEN model includes the framework and a decision tree for its usability and application to OT practice, particularly in E-health.
Telemedicine
10.Telemedicine readiness and acceptability among resident physicians of a tertiary government hospital: A cross-sectional analytic study
The Filipino Family Physician 2022;60(2):217-222
Background:
Multiple international studies found that Telemedicine is acceptable to physicians and healthcare teams. However, there are no available studies to determine if the residents of a tertiary hospital are ready and welcoming to this new approach.
Objective:
To assess telemedicine readiness and acceptability among resident physicians of East Avenue Medical Center.
Methods:
This cross-sectional study recruited 139 East Avenue Medical Center (EAMC) resident physicians using a web-based questionnaire. The majority of respondents were female (63.31%), with a mean age of 29.99 ± 2.45 years and a mean duration of training of 23 (11 to 34). Data were analyzed to determine readiness based on technological resource availability, hardware and software skills, and acceptability using a modified and validated questionnaire.
Results:
The majority have Smartphones 125 (89.93%) and Personal Computers 122 (87.77%) and have access to mobile data 128 (92.09%) and Wi-Fi 119 (85.61%). Mean perceived device and software skills were 3.28 ± 0.58 and 3.38 ± 0.56, respectively. The overall acceptability was 2.88 ± 0.58. Males have higher perceived device skills, however, both sexes have similar perceived software skills (p-value > 0.05) No correlation was seen between telemedicine acceptance with age and length of training.
Conclusion
This study demonstrated that EAMC resident physicians are equipped and ready for Telemedicine. Additionally, it demonstrated hesitancy but leaned towards telemedicine acceptance. Males have better perceived device skills, but readiness and acceptability are similar for both sexes in other domains. There is no correlation between age and length of training with readiness and acceptability.
Telemedicine
Result Analysis
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