A Data Management Framework for Nurses Using E-Health as a Service (eHaaS)

Heng Liu, Rui Liu, Zhimei Liu, Xuena Han, Kaixuan Wang, Li Yang and FuGuo Yang
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Heng Liu: Qingdao University, China
Rui Liu: Qingdao University, China
Zhimei Liu: Shili Hospital of Qingdao, China
Xuena Han: Qingdao University, China
Kaixuan Wang: Qingdao University, China
Li Yang: Qingdao University, China
FuGuo Yang: Qingdao University, China

International Journal of Data Warehousing and Mining (IJDWM), 2023, vol. 19, issue 4, 1-16

Abstract: The electronic health record (EHR) is a patient care database, which helps doctors or nurses to analyse comprehensive patient healthcare through health-cart (h-cart) assistance. Electronic health (e-Health) services offer efficient sharing of the patient's information based on geo-location in which nurses, doctors, or health care practitioners access the patients, promptly and without time delay in case of emergency. In e-Health services, nurses are considered as the data holder who can store and maintain patient's health records in the cloud h-cart platform to analyses patient's data effectively. Therefore, nurses need to safely share and manage access to data in the healthcare system; this need required prominent solutions. However, data authenticity and response time are considered as challenging characteristics in the e-health care system. Hence, in this paper, an improved e-health service model (IeHSM) has been proposed based on cloud computing technology to improve the data authenticity, reliability, and accessibility time of the healthcare information.

Date: 2023
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