Retrieved from īarnes, G., Levy, A., Scherer, A., Fisher, B., Larkin, K., & Fagerlin, A. Retrieved from files /content/16/16telehealthissuebrief.pdfĪubut, J., Ciliberti, R. Telehealth: Helping Hospitals Deliver Cost-Hospital Effective Care. JMIR Medical Informatics, 9(2), e23335.Īmerican Hospital Association (2016). Utilization of Telehealth Services in Libya in Response to the COVID-19 Pandemic: Cross-sectional Analysis. B., Alsoufi, A., Ashini, A., Elhadi, A., Elhadi., M., Msherghi, A., & Tarek, A. Will applications on smartphones allow a generalization of telemedicine?. Retrieved from Īllaert, F., Legrand, L., Carime, N., & Quantin., C. Recapitulating the Bayesian Framework for Neurosurgical Outpatient Care and a Cost-Benefit Analysis of Telemedicine for Socioeconomically Disadvantaged Patients in the Philippines during the Pandemic. Retrieved from Īlcazaren, J., Bautista, M., Ferraris, K., Golidtum, J., Navarro, J., Seng, K., & Zuñiga, B. Telemedicine, the current COVID-19 pandemic and the future: a narrative review and perspectives moving forward in the USA. Retrieved from Journal of Infection anf Public Health: Īlbosta, M., Amir, F., Kichloo, A., Dettloff, K., Singh, J., Singh, J., … Chugh, S. Barriers and challenges in adopting Saudi telemedicine network: The perceptions of decision makers of healthcare facilities in Saudi Arabia. Retrieved from HIT Consultant: Īlaboudi, A., Atkins, A., Sharp, B., Balkhair, A., Alzahrani, M., & Sunbul, T. Telehealth and COVID-19: Overcoming New Challenges for Providers and Payers. Retrieved from Journal of Medical Internet Research: Īdamson, E. Unveiling the Black Box of Diagnostic and Clinical Decision Support Systems for Antenatal Care: Realist Evaluation. Ībejirinde, I., Abanga, R., Apentibadek, N., Bardaji, A., Debrouwere, V., Roosmalen, J., … Zweekhorst, M. Levels, trends and determinants of technical efficiency of general hospitals in Uganda: data envelopment analysis and Tobit regression analysis. Keywords: technology, telehealth, basic health care, Batangas City, COVID-19Ībaliwano, J., Ayiko, R., Mujasi, P.N. And lastly, the researchers proposed an application named as “DoctLine” which aims to combat the existing challenges brought about by the current telehealth to Batangas City residents. The main challenge evident is lack of digital literacy or unfamiliarity with regards to the used technology. The researchers concluded that securing one’s safety against iatrogenic infection in the current Coronavirus Disease 2019 (COVID-19) pandemic, allowing constant monitoring of the patient’s health progress, utilizing a device for communication among the patients and healthcare providers and reducing patient’s expenses due to the absence of transportation fees are the major contributions of telehealth to the healthcare system of Batangas City. Furthermore, Frequency distribution, Ranking, Pearson Correlation Coefficient, and Weighted Mean will be used as the main statistical tools to analyze and interpret the data. The data would be obtained through purposive sampling where participants will be chosen in accordance with the purpose of the research. The sample would have a total of 400 respondents drawn from the total population of Batangas City, who have active roles in using the telehealth services in Batangas City. It will use a survey questionnaire as a research instrument in gathering data. The study is quantitative in its nature and employed the use of descriptive design. The study entitled “Technology Meets Healthcare: Assessment on the Utilization of Telehealth as a Means of Providing Basic Health Care to Batangas City Residents,” aims to determine the current modes of telehealth services in Batangas City, its contributions in providing basic health care services, the challenges in delivering these services, and the best possible intervention or course of action to address these challenges. TECHNOLOGY MEETS HEALTHCARE: ASSESSMENT ON THE UTILIZATION OF TELEHEALTH AS A MEANS OF PROVIDING BASIC HEALTH CARE TO BATANGAS CITY RESIDENTS
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