review · Healthcare
Digital health technologies, including artificial intelligence, telemedicine, mobile health applications, and big data analytics, are transforming healthcare delivery globally. These tools improve clinical decision-making, facilitate remote care, and support disease surveillance, thereby increasing healthcare quality, efficiency, and access. However, low- and middle-income countries face substantial obstacles that impede the fair adoption of these interventions. Chief among these barriers are limited infrastructure, weak frameworks for data governance, and an enduring digital divide. Examining global best practices and emerging digital tools offers strategic pathways to integrate innovations into existing systems. Aligning these technologies with the goals of universal health coverage helps bridge systemic health disparities. This analysis highlights methods for developing inclusive, scalable, and sustainable health delivery models targeted specifically at underserved regions seeking to modernise their medical infrastructure.
Digital tools hold the potential to make medical care available to everyone, regardless of location. Understanding the structural barriers that prevent low- and middle-income nations from adopting artificial intelligence, telemedicine, and mobile health platforms is vital. Overcoming these challenges ensures that advancements in digital healthcare do not widen existing inequalities, enabling underserved populations to receive equitable, high-quality, and reliable medical treatment.
The review provides strategic guidance rather than a deployable technology, placing it at a conceptual, policy-oriented stage. The insights could guide health ministries, non-governmental organisations, and digital health developers seeking to deploy telemedicine, mobile health tools, and diagnostic analytics in low- and middle-income countries. Real-world adoption relies on overcoming infrastructure constraints and establishing robust data governance frameworks to ensure products function sustainably in resource-constrained environments.
AI-generated from the published abstract. Always read the original work before citing.
Digital health innovations are reshaping global healthcare systems by enhancing access, efficiency, and quality of care. Technologies such as artificial intelligence, telemedicine, mobile health applications, and big data analytics have been widely applied to support disease surveillance, enable remote care, and improve clinical decision making. This review critically identifies persistent implementation challenges that hinder the equitable adoption of digital health solutions, such as the digital divide, limited infrastructure, and weak data governance, particularly in low- and middle-income countries (LMICs). It aims to propose strategic pathways for integrating digital innovations to strengthen universal health coverage (UHC) and bridge health disparities in the region. By analyzing the best global practices and emerging innovations, this study contributes to the ongoing dialogue on leveraging digital health for inclusive, scalable, and sustainable healthcare delivery in underserved regions.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.3390/healthcare13091060
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
