Integrating Machine Learning (ML) and Artificial Intelligence (AI) Applications into Health care financing for Achieving Universal Health Coverage (UHC) for Egyptian Health Care system: Literature Review

Over the past decades, Egypt has made significant progress toward improving the health outcomes of its population through the implementation of the Universal Health Insurance (UHI) Law enacted in 2018. The implementation of the new UHI Law of 2018 requires a major transformation to the health financing system. In addition to, it is essential to move into the digitalization age of healthcare in Egypt.
Artificial Intelligence (AI) and Machine Learning (ML) tools have the potential to improve the efficiency of healthcare system, decision-making processes, and optimizing healthcare financing systems. Additionally, AI applications can also set priorities for the resource allocation of governments that are involved in achieving Sustainable Development Goals (SDGs).
This study provides an overview of the integration the Machine Learning (ML) approaches into healthcare financing functions to overcome the issues related to the health financing system that accelerate achieving UHC in the Egyptian health system.
To achieve this objective, the researchers used a systematic Literature Review by reviewing full papers, charting extracted data, and screening and summarizing findings. This Literature Review was done through the database of PubMed, Google Scholar, Scopus, and Web of Science from January 2000 to December 2023.
This research revealed that ML and AI applications have a significant impact on many aspects of the health financing domain in the Egyptian health system that supports health Digital Transformation and the role of E-Health Company, the first health digitalization company in Egypt for progress toward UHC in 2030.