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Leveraging data analytics to enhance public health system performance in Peru
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DOI：10.3389/fpubh.2026.1849983.png)
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Abstract
En 中文
The public health systems in Latin America are being transformed and restructured with the help of digital technologies and the use of Data analytics. This transformation is occurring in countries where there is a significant imbalance between the amount and quality of health care services provided; as well as between the institutions that provide these services; particularly in Peru. The increased use of digital health technologies; predictive analytics; and interoperable information systems in Peru provides an opportunity for the improvement of the overall performance of Peru’s Public Health System through the use of digital health technologies and predictive analytics and therefore also the ability to allocate resources in a more equitable manner and provide improved epidemiological surveillance. In this review; the author examines the role of data analytics in strengthening Peru’s public health systems; as well as the main structural; regulatory; and technology barriers inhibiting data analytics’ implementation in Peru’s public healthcare systems. A literature review was conducted using readily accessible peer-reviewed articles contained within institutional and governmental publications as well as international health governance documents found in Scopus; PubMed; SciELO; Web of Science; and Google Scholar from 2014 through 2026 for the subject areas of digital health; predictive analytics; interoperability; the use of artificial intelligence; and the ways in which these technologies affect the future of public health governance in Peru and throughout Latin America. The research highlights that analytics are improving how chronic diseases are monitored; how quickly diseases are detected; as well as improving the decision-making abilities of health systems and governments across multiple countries within Latin America. Additional barriers still exist in Peru; these include limited interoperability between healthcare organizations; unevenly distributed technology infrastructure; fragmented governance structures; an inadequate amount of technical resources; and continuing differences in the level of provision of technological resources in urban vs. rural areas. In addition; it was identified through the review that the mere adoption of technology alone will not result in a change; rather; it is essential that there be good institutional coordination for implementing and overseeing regulatory practices; ethical governance of the use of this technology; and development of a strategy for ensuring inclusiveness of implementation. Through its proposed integrated analytical framework; this study expands the public health literature by demonstrating how interoperability (including the impact of governance); predictive analytics and equity dimensions of healthcare systems are related to public health systems in Peru. Also; based on findings from this research; public health systems will need to invest for the long term in improving their infrastructure; creating modern regulatory schemes for digital health; training their workforce in using these tools; and developing policies designed to provide digital inclusion to all members of the community if they want to achieve a sustainable digital transformation.
Keywords:
health equity
digital health
big data
public health
Peru
predictive analytics
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