ArticleJournal of education and health promotion2026
Trust, satisfaction, engagement, and sustainable healthcare delivery: Exploring patient behavior through sentimental analysis in AI-powered telemedicine platforms.
Article in Journal of education and health promotion, 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
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.
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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTelemedicine platforms are transforming the healthcare sector by providing patients with convenient access to medical consultations, thereby improving healthcare outcomes and promoting sustainable healthcare delivery. As a key driver of patient engagement, AI-powered telemedicine services help individuals manage their health challenges, reduce risks, and enhance overall well-being. In addition, by minimizing the need for physical visits, telemedicine contributes to environmental sustainability through reduced carbon emissions from travel. The main objective of the study is to show how telemedicine services impact patient behavior and at what stage patients are involved and accepted their trust, satisfaction with AI-powered telemedicine platforms, and access to their role in promoting sustainable healthcare delivery. MATERIALS AND
methodsThe study examines the secondary data generates 2000 responses by using excel data sentimental analysis technique based on consumer behavior, trust, satisfaction, and engagement with telemedicine platforms by analyzing sentiments expressed on social media platforms like X formerly (Twitter) and YouTube and telemedicine services (Teladoc, Doctors on Demand, MD Live, Health Tapp, and Babylon Health).
resultsWe analyzed secondary data by using excel data sentimental analysis technique to generate 2000 comments across this platform and gathered data and calculated sentimental analysis by using formula, and revealed that 54.9% of responses were positive and 45.1% responses were negative. These insights provide a deeper understanding of consumer trust, satisfaction levels, and engagement patterns in the telemedicine services.
conclusionThe paper concludes that Telemedicine in the healthcare sector has a good impact in administrative work faster and more reliable and reduces burden of charges and work efficiency and well-being of system and progress.
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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 OpenQuestion graph.