ArticleHealth science reports2026
Assessing Telemedicine Implementation Potential in High-Referral Specialties: A Cross-Sectional Study in Iran.
Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Telemedicine is more than just an advanced technology; it represents a fundamental transformation in the delivery of healthcare services, facilitating seamless communication between patients and specialists through innovative means that are unrestricted by geographical limitations. This study aimed to identify medical specialties with the highest referral rates and assess their readiness for telemedicine implementation within the population covered by Shiraz University of Medical Sciences. Methods: The study was conducted in two stages: first, identifying medical specialties with the highest patient referral frequencies, and second, assessing the potential for telemedicine implementation in these key specialties. Specialties were selected using a referral frequency threshold defined as one standard deviation above the mean number of total referrals (mean + 1 SD). To evaluate telemedicine implementation potential, four key indicators were assessed-specialists' willingness to use telemedicine, financing, organizational capacity, and practical equipment-through surveys of experts with relevant knowledge and experience in the field. A composite index was then calculated to rank the specialties, and a sensitivity analysis using alternative weighting schemes was performed to examine the stability of the rankings. Results: The analysis revealed that a total of 21,328 patient referrals were recorded within the studied population during the year under review, with 70.8% (15,099) of these referrals pertaining to six key medical specialties. An assessment of telemedicine implementation potential across the six specialties showed that general surgery demonstrated the highest score (1.55), followed by cardiology (1.47), general internal medicine (1.40), orthopedics (1.38), neurosurgery (1.36), and pediatrics (1.06), representing a descending gradient from the most to the least favorable status. Conclusion: The assessment of telemedicine implementation potential in key medical specialties has identified the most suitable fields for the expansion of this technology. By analyzing the critical factors influencing telemedicine adoption, this study provides actionable insights for policymakers to design targeted implementation strategies, such as sustainable financing models, enhancement of technological infrastructure, supportive regulatory frameworks, and removal of specialty-specific barriers. These recommendations can guide the advancement of remote healthcare services in high-demand specialties.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.