Pregnancy period is a special moment of women’s life and maternity healthcare is considered as an important part of society healthcare. There are some problems and limitations with the existing services to support gravid women. The first problem is that there is no electronic system to share maternity data between hospitals and clinics. The existing systems do not exploit web and mobile technology, and there is no pervasive and ubiquities system. Most of health clinics’ activities are done with traditional approaches. The second problem is that 20% of pregnant women have to rest at hospital for some days, weeks, or months because of some pregnancy complication such as bleeding, low placenta, and so forth. There is no monitoring service at home to reduce the number of hospitalized pregnant women. The next problem is with rural enceinte women who have higher poverty rates and tend to be in poorer health. Fewer doctors and hospitals, and other health resources will cause more difficulties for them getting to health services. So far, there is no monitoring system for rural enceinte women. Using mobile devices for monitoring pregnant women is a way to overcome those problems. Maternity monitoring by mobile makes an opportunity which by using it we can share maternity data and monitor enceinte women at home instead of being hospitalized. But maternity monitoring via mobile devices can raise other technical problems. The first problem is the quality, availability, accessibility, security and privacy of patients’ data. The second problem is mobile device limitation that includes the limitation of memory, battery life span, and processor speed. In this study to solve these problems the literature review has been conducted on maternity data management, pervasive mobile healthcare system, cloud computing, and mobile healthcare system on cloud computing. Then a new architecture is proposed to solve those problems.
Real Time Impact Factor:
Pending
Author Name: Morteza Zamani Roudbaraki, Wahidah Husain
URL: View PDF
Keywords: Cloud computing, Mobile cloud computing, Maternity data management, Mobile healthcare system
ISSN:
EISSN: 2289-8603
EOI/DOI:
Add Citation
Views: 1017
