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ENHANCING RURAL HEALTHCARE ACCESS AND SERVICES THROUGH DIGITAL HEALTH INNOVATIONS

Author Information
Name: Ankita Chaudhari, O.P. Gupta & Khushboo Sharma
Country: India
Publication Details
Year: 2025
Volume: Volume No: 12, Issue No: 2, Year: 2025
Page Number: 27-38
DOI: https://doi.org/10.5281/zenodo.20537172
Abstract
ABSTRACT
In the contemporary era, digital health solutions have emerged as a transformative force in
the healthcare sector, particularly in rural areas where access to quality medical services
remains a critical challenge (Sharma, 2021). The integration of digital health technologies,
including telemedicine, mobile health (mHealth), electronic health records (EHRs), and
artificial intelligence-driven diagnostics, has significantly enhanced healthcare accessibility,
affordability, and efficiency (Patel & Gupta, 2022). This research paper explores the role of
digital health solutions in improving healthcare access and delivery in rural settings,
analyzing both the opportunities and challenges associated with their implementation (Jones
et al., 2020).
Rural populations across the globe suffer from inadequate healthcare infrastructure, a
shortage of medical professionals, and logistical barriers that hinder timely medical
intervention (Green & White, 2020). Digital health technologies offer innovative solutions to
bridge these gaps by providing remote consultations, health monitoring, and data-driven
decision-making tools that empower both patients and healthcare providers (Kim & Park,
2021). Telemedicine platforms, for instance, have revolutionized patient care by enabling
virtual consultations with specialists, thereby reducing the need for physical travel and
minimizing the burden on overburdened healthcare facilities (Johnson & Kumar, 2020).
Similarly, mobile health applications facilitate real-time health tracking, patient education,
and medication adherence, thereby improving health outcomes in resource-constrained
environments (Singh & Kapoor, 2022).
Keywords: Digital Health, Telemedicine, Rural Healthcare, M-Health, Artificial Intelligence
in Healthcare
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