Integrating Digital Health Innovations to Achieve Universal Health Coverage: Promoting Health Outcomes and Quality Through Global Public Health Equity
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 digit
Record details
Published: 5 May 2025
Source: OpenAlex
Category: Research
Topics: Bias & fairness · Privacy · Healthcare
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI
OpenAlex · 27 February 2025
AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development
OpenAlex · 7 February 2025
Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications
OpenAlex · 3 January 2026
Governing Healthcare AI in the Real World: How Fairness, Transparency, and Human Oversight Can Coexist: A Narrative Review
OpenAlex · 6 February 2026
Reimagining psychiatric care with agentic AI: promise, challenges, and a roadmap forward
OpenAlex · 16 February 2026
Ethical Fairness in Ubiquitous Health Sensing without Known Attributes
arXiv · 10 March 2026
How to cite this record
ethics.ai (5 May 2025), “Integrating Digital Health Innovations to Achieve Universal Health Coverage: Promoting Health Outcomes and Quality Through Global Public Health Equity,” evidence record 9798, https://ethics.ai/record/9798 (originally published by OpenAlex).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.