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1- Phd Student of Public Administration, Islamic Azad University Zahedan Branch, Zahedan, Iran.
2- Professor, Faculty of Management and Economics, University of Sistan and Baluchestan, Zahedan, Iran , yaghoubi@mgmt.usb.ac.ir
3- Assistant Professor, Faculty of Management, Velayat University, Iranshahr, Iran
4- Associate Professor, Medical Sciences Research Center, Torbat Heydarieh University of Medical Sciences, Razavi Khorasan, Iran
Abstract:   (926 Views)
The rise of telemedicine signifies the dawn of a transformative era in healthcare delivery, offering innovative solutions to surmount geographical barriers, enhance patient care, and optimize resource allocation. In this context, the present study endeavors to introduce and validate a telemedicine deployment model within selected hospitals in Zahedan. This research employs an applied mixed-methods approach, involving the analysis of 47 telemedicine papers through a Meta-analysis synthesis study model, followed by the extraction of related dimensions and codes through content analysis. The subsequent prioritization of these dimensions is carried out using the Shannon entropy analysis method. The research encompasses all employees of the chosen Zahedan hospitals, selected using the Cochran formula, resulting in a sample of 321 individuals who completed the research questionnaire. Confirmatory factor analysis, executed through SMART PLS version 3, is utilized for research data analysis. The findings indicate that the extracted indexes from the papers are categorized into five main classes: cultural, human, institutional empowerment, strategy, and infrastructure and knowledge management. Notably, infrastructure is further subdivided into technical, security, software and hardware, legal, network, and organizational aspects. Among these dimensions, infrastructure, strategy, knowledge management, empowerment, and culture are shown to explain 93%, 84%, 83%, 70%, and 54% of the variance in telemedicine, respectively. Furthermore, the results of the confirmatory factor analysis reinforce the validity of all components within the research model, achieving a high level of confidence at 99%. In essence, this study lays the foundation for a comprehensive telemedicine implementation framework, offering invaluable insights for healthcare organizations striving to seamlessly integrate telemedicine into their daily operations.
Full-Text [PDF 592 kb]   (211 Downloads)    
Type of Study: Original | Subject: Educational Psychology
Received: 2023/05/10 | Accepted: 2023/09/10

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.