Previously submitted to: Online Journal of Public Health Informatics (no longer under consideration since Apr 25, 2026)
Date Submitted: Aug 7, 2025
Open Peer Review Period: Aug 8, 2025 - Oct 3, 2025
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Bridging the Digital Divide - How IoMT Can Reduce Healthcare Disparities in Underserved Communities
ABSTRACT
Background:
Healthcare disparities continue to affect underserved communities, particularly in the management of chronic diseases like diabetes and hypertension. Internet of Medical Things (IoMT) technologies, including telehealth platforms and wearable health devices, have shown promise in improving access and outcomes. However, infrastructure challenges, digital illiteracy, cost barriers, and data security concerns limit adoption in underserved areas.
Objective:
This study aimed to explore how IoMT technologies can reduce healthcare disparities in underserved communities by examining the perceptions, readiness, and barriers patients and clinicians face.
Methods:
A qualitative case study methodology was employed. Surveys containing open-ended and Likert-scale items were distributed to 40 community members and 20 clinicians from underserved communities. The study used purposive sampling and was approved by the Institutional Review Board at Governors State University. Thematic analysis was conducted using ATLAS. Ti software is guided by a hybrid theoretical framework that integrates the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Diffusion of Innovations Theory.
Results:
Community members expressed strong interest in IoMT but identified cost, lack of training, and digital literacy as key barriers. Many were unfamiliar with how IoMT tools function but were open to learning with proper guidance. Clinicians valued the role of IoMT in chronic disease management and remote monitoring but highlighted infrastructure issues, lack of technical support, and concerns about patient readiness. Both groups cited data security and trust as critical factors influencing adoption. Themes such as affordability, usability, clinician support, and equitable deployment emerged vital for successful implementation.
Conclusions:
IoMT technologies offer significant potential to address healthcare disparities, but their success depends on addressing financial, educational, and infrastructural barriers. A multifaceted strategy, combining clinician training, community education, broadband investment, and inclusive policy, is essential for equitable adoption. This study contributes to the growing literature on digital health equity and provides stakeholder-informed guidance for deploying IoMT solutions in underserved settings. Clinical Trial: Not applicable.
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