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A model for the expansion of telemedicine technology in the field of treatment | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 4، دوره 15، شماره 6، شهریور 2024، صفحه 43-56 اصل مقاله (1.13 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.30509.4418 | ||
| نویسندگان | ||
| Mohsen Moslemiafar* ؛ Kamran Feizi؛ Mohammad Taghavifard؛ Seyed Mohammad Ali Khatami Firouzabadi | ||
| Faculty of Management, Allameh Tabataba'i University, Tehran, Iran | ||
| تاریخ دریافت: 13 بهمن 1401، تاریخ بازنگری: 25 اردیبهشت 1402، تاریخ پذیرش: 31 اردیبهشت 1402 | ||
| چکیده | ||
| Telemedicine is considered to be the result of the combination of rapid developments in the two specialized fields of information technology and medicine, and observing the favorable and rapid effects of this technology has encouraged the managers of health systems in many countries, including Iran, to expand it. However, despite the advantages that this technology can have for a country like Iran, this technology did not have the expected expansion in Iran, and for this reason, the current research sought to formulate a model for the expansion of telemedicine in the field of treatment. Previous researches, with much more limited areas, have focused more on Davis's technology acceptance model and the theory of logical action. In this research, which was conducted with a user-centred approach, using the opinions of experts and the fuzzy Delphi method (in the first part) and the validation of the resulting model by operational experts (in the second part), finally, a model for expanding this technology with 4 main factors effective and 14 components of those factors were obtained and the validity of the resulting model was also confirmed by several different criteria, including the goodness of fit criterion. The results showed that the component of resistance to use among cultural and social factors has the most significant impact on the development of this technology, and this resistance was observed mostly on the side of doctors and treatment service providers. After that, the amount and type of allocation of financial resources and government policies are in the next ranks. The least significant impact was attributed to the perceived risk. The results showed that the components of attitude and the expected performance had no significant effect on the development of telemedicine and the most important factors affecting the development of this technology are in the area of authority of the government and policymakers of the health system. | ||
| کلیدواژهها | ||
| Telemedicine؛ information technology؛ technology expansion model؛ health data؛ health system؛ electronic health | ||
| مراجع | ||
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[1] A. Burton-Jones and G.S. Hubona, Individual differences and usage behavior: Revisiting a technology acceptance model assumption, ACM SIGMIS Database: DATABASE Adv. Inf. Syst. 36 (2005), no. 207, 58–77. [2] C.H. Cheng and Y. Lin, Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation, Eur. J. Oper. Res. 142 (2002), 74–86. [3] V. Ghorbanzadeh, S. Hasan Nangir and H. Roudsaz, Meta-analysis of factors affecting the acceptance of information technology in Iran, Manag. Res. Iran 17 (2012), no. 2. [4] D. Jayasinghe, R.M. Crowder and G. Wills, Model for the adoption of telemedicine in Sri Lanka, SAGE Open 6 (2016), no. 3. [5] M. Kifle, V. Mbarika and R. Bradley, Global diffusion of the internet X: The diffusion of telemedicine in Ethiopia: Potential benefits, present challenges, and potential factors, Commun. Assoc. Inf. Syst. 18 (2006), no. 1, 30. [6] R.N. Kowitlawakul, The technology acceptance model: Predicting nurses’ intention to use telemedicine technology (eICU), Comput. Inf. Nurs. 29 (2011), no. 7, 411–418. [7] M. Leigh-Ann and P. R. Murphy, MicroRNA: Biogenesis, function and role in cancer, Curr Genomics 11 (2010), no. 7, 537–561. [8] T. Lewis, Ch. Synowiec, G. Lagomarsino and J. Schweitzer, E-health in low- and middle-income countries: Findings from the center for health market innovations, Bull. World Health Organ. 90 (2012), no. 5, 332–340. [9] P.Y. Sh. Manoranjan Dash and R. P. Sunil Kar, A conceptual model for telemedicine adoption: An examination of technology acceptance model, Int. J. Recent Technol. Engin. 8 (2019), no. 2, 2277–3878. [10] E. McFarlane, J. Thornton, S. Chalmers, E. Whittingham, T. Sharma, and P. Alderson, DECIDE: Survey on awareness of NICE guidelines and their implementation, G-I-N Int. Conf., Berlin, 2012, 22–25. [11] H. Mehdizadeh, H. Ayatollahi, N. Esmaeili and M. Kamkar, Designing and building a teledermatology system, J. Mazandaran Univ. Med. Sci. 25 (2015), no. 123, 170–184. [12] M. Milutinovic and B. De Decker, Ethical aspects in eHealth–design of a privacy-friendly system, J. Inf. Commun. Ethics Soc. 14 (2016), no. 1, 49–69. [13] E.M. Rogers, Diffusion of Innovations, 4th Edition, the Free Press, New York, 1995. [14] F. Sadoughi, M. Sadeghi, M. Langarizadeh and E. Gozali, Survey Of telepathology implementation feasibility in the teaching hospitals affiliated to Tehran University of Medical Sciences, 8 (2014), no. 4, 343–353. [15] C. Scott Kruse, Sh. Bouffard, M. Dougherty and J. Stewart Parro, Telemedicine use in rural native American communities in the era of the ACA: A systematic literature review, J. Med. Syst. 40 (2016), no. 6. [16] Y.T. Shen, L. Chen, W.W. Yue and H.X. Xu, Digital technology-based telemedicine for the COVID-19 pandemic, Front Med (Lausanne) 8 (2021), 646506. [17] R. Tavallaei and M.M. Ahmadi, Factors influencing acceptance of E-health: An interpretive structural modeling, J. Inf. Technol. Manag. 10 (2018), no. 3, 106–126. [18] WHO. (2018), www.who.int/hdp/en. [19] M. Zargar, H. Alizadeh Otaghvar, A. Danaei and M. Babaei, Factors affecting of telemedicine technology acceptance among technology specialists in Iranian hospitals, RJMS 24 (2017), no. 161, 88–98. | ||
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