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Leveraging data analytics to enhance public health system performance in Peru
Edmundo Lizarzaburu1, Julio Quispe1, Macarena Lizarzaburu2
1Esan University, Lima, Peru.
Frontiers in Public Health
|August 1, 2026
Summary
Digital health and data analytics are transforming public health systems in Latin America, particularly in Peru. Addressing barriers like interoperability and governance is key for equitable resource allocation and improved health outcomes.
Area of Science:
- Public Health
- Health Informatics
- Health Governance
Background:
- Latin American public health systems face challenges in service provision and equity.
- Digital technologies and data analytics offer potential solutions for system transformation.
Purpose of the Study:
- To examine the role of data analytics in strengthening Peru's public health system.
- To identify barriers to data analytics implementation in Peru's healthcare.
- To explore the impact of digital health on public health governance in Latin America.
Main Methods:
- A literature review was conducted using peer-reviewed articles and governmental publications.
- Searched databases included Scopus, PubMed, SciELO, Web of Science, and Google Scholar (2014-2026).
- Focused on digital health, predictive analytics, interoperability, and artificial intelligence in public health.
Main Results:
- Data analytics improve chronic disease monitoring, disease detection, and decision-making in Latin American health systems.
- Peru faces barriers including limited interoperability, fragmented governance, and uneven technological infrastructure.
- Technology adoption requires institutional coordination, ethical governance, and inclusive strategies.
Conclusions:
- Interoperability, predictive analytics, and equity are crucial for Peru's public health system.
- Sustainable digital transformation requires long-term investment in infrastructure, regulation, workforce training, and digital inclusion.
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