The Potentials of Big Data in Achieving Universal Health Coverage in Iran
Abstract
Big data refers to large and complex data sets that cannot be easily processed managed or analyzed using traditional data processing tools and techniques. The role of big data in health encompasses a wide range of applications that leverage large and complex data sets to improve health outcomes and healthcare delivery. With the growth of digital health technologies and the increasing availability of health data from various sources, big data analytics has become a critical tool in healthcare research, management, and decision-making. The goal of UHC is to ensure that everyone has access to the health services they need, when and where they need them, without having to face financial barriers or catastrophic health expenditures that can lead to poverty. UHC plays a critical role in achieving equity in health by ensuring that all individuals and communities have access to quality health services without facing financial hardship. Big data can play a significant role in achieving equity by enabling the identification and analysis of disparities and inequalities across various domains, including healthcare, education, employment, and social welfare. The use of big data in Iran's health system has the potential to significantly improve healthcare delivery, enhance patient outcomes, and reduce healthcare costs. Big data can be used to monitor and evaluate progress towards achieving UHC goals in Iran.
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Issue | Vol 6, No 4 (2022) | |
Section | Brief Report | |
DOI | https://doi.org/10.18502/htaa.v6i4.12823 | |
Keywords | ||
Big data equity universal health coverage Iran health policy |
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |