ArticlemHealth2025
Smart ICT MED, mHealth development to basic illness symptoms.
Article in mHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Countries worldwide are increasingly integrating advanced information technology into digital health to enhance public health services. However, overcrowded medical services and limited public health literacy remain challenges, especially in Thailand, where reliance on healthcare providers often overshadows self-care capabilities. The aim of this study is to develop and evaluate the Smart ICT MED app, a mobile health solution designed to empower users in managing basic health conditions through preliminary symptom assessment, self-monitoring, and locating nearby hospitals. This innovative application leverages insights from medical experts and user feedback, aiming to reduce healthcare burdens, promote health literacy, and support efficient self-diagnosis. Methods: This study addresses challenges through the Smart ICT MED app, developed using data from 54 symptom groups from Clinical Drug Information, medical handbooks, and expert insights. Designed for user-friendliness, the application incorporates feedback to meet specific needs. Results: Prototypes were created, evaluated, and improved based on medical professionals' input. The application features four key functions: preliminary symptom assessment, advice, self-monitoring conditions, and locating nearby hospitals. Despite challenges in application store publication, the application reached 87 hospitals nationwide through social media. The application recorded total 6,694 downloads with substantial user engagement. Conclusions: The application provides a reliable tool for self-diagnosis of 54 disease groups, validated by medical experts. It features a user-friendly interface and comprehensive healthcare management tools, showing high user engagement and potential for a positive public health impact. Ongoing efforts to enhance user engagement, integrate professional medical consultations, and streamline the publication process are essential for its continued success and wider adoption.
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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.