Evidence map›Paper›PMID 42657290›Full record

ArticleHealth science reports2026

Assessing Telemedicine Implementation Potential in High-Referral Specialties: A Cross-Sectional Study in Iran.

Reyhane Izadi, Abdosaleh Jafari, Zahra Zare, Mohammad Amin Bahrami

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Reyhane IzadiDepartment of Health Care Management, School of Management and Information Sciences Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0001-6155-9279
Abdosaleh JafariHealth Human Resources Research Center, School of Health Management and Information Sciences Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0003-3035-2798
Zahra ZareDepartment of Health Care Management, School of Management and Information Sciences Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0001-6778-8267
Mohammad Amin BahramiHealth Human Resources Research Center, School of Health Management and Information Sciences Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0003-2276-7440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

medical specialtiesShiraz University of Medical Sciencestelehealthtelemedicinetelemedicine implementation

Identifiers

PMID42657290
PMCPMC13508582

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.