A Comprehensive and Modern Framework for Cloud-based Mobile Maternity Data Management
Abstract
The pregnancy period holds great significance in a woman's life, and maternity healthcare plays a crucial role in society's overall healthcare system. However, there are various issues and limitations associated with existing services aimed at supporting pregnant women. Firstly, there is a lack of an electronic system for sharing maternity data between hospitals and clinics. The current systems do not effectively utilize web and mobile technology, and there is a lack of a comprehensive and widespread system. Most health clinics still rely on traditional approaches. Secondly, approximately 20% of pregnant women require hospitalization for varying durations due to complications such as bleeding or low placenta. Unfortunately, there is no monitoring service available at home to minimize the number of hospitalized pregnant women. Additionally, rural pregnant women, who tend to have higher poverty rates and poorer health, face additional difficulties due to limited access to doctors, hospitals, and healthcare resources. Currently, there is no monitoring system specifically designed for rural pregnant women. Utilizing mobile devices for monitoring pregnant women provides a potential solution to these problems. Mobile maternity monitoring offers an opportunity to share maternity data and monitor pregnant women at home, reducing the need for hospitalization. However, maternity monitoring through mobile devices may also give rise to other technical challenges. The first challenge pertains to the quality, availability, accessibility, security, and privacy of patients' data. The second challenge involves the limitations of mobile devices, including memory, battery life, and processor speed. This study addresses these problems through a comprehensive literature review on maternity data management, pervasive mobile healthcare systems, cloud computing, and mobile healthcare systems on cloud computing. Subsequently, a new architecture is proposed to tackle these challenges.
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