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

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

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), and FuGuo Yang (Qingdao University, China)
Copyright: © 2023 |Pages: 16
DOI: 10.4018/IJDWM.319736
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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.
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Outline About The Research And Health Service Implications

In this medical era, Future health services are experiencing significant changes. The population's demands and desires are on the increase (Abdulaziz et al. 2019), with fewer resources and workers available. Patients frequently place additional demands on health services, which include control (Muthu et al. 2020), decision-making involvement, access to health records, and treatment in residence (Jayaratne et al. 2019). As health care professionals like nurses or doctors, they need to contribute to the advancement of wellbeing and disease prevention and the avoidance of the emergence of chronic and long-term diseases (Manogaran et al. 2017). The quick flow of information between providers is becoming more important as patients travel more regularly to different areas (Kujala et al. 2020) of health care. It creates problems and opportunities to be overcome by the usage of e-Health and other items (Ramos et al. 2019).

Tele-monitoring of patients by nurses may be used in several health care services in their native countries, and its usage for the management of chronic diseases is overgrowing. The telecommunication equipment used in the home involves mobile apps (Manogaran & Lopez. 2017), video phones, texting systems, that capture and relay only signals of vital importance, and telephone calls with interactive voice response. Although several studies have measured monitoring performance (Fadahunsi et al. 2019) in the treatment of chronic diseases, there are many conflicting findings. Two systematic monitoring studies have reported inconsistent results on glycemic regulation among patients with diabetes mellitus (DM). Although the management of treatment is part of the design of a telecontrol system, it is typically handled by nurses (Børøsund & Varsi. 2019; Appan et al. 2018). Nurses can either be direct or indirect. Direct treatments require patient interactions, whereas indirect operations usually take place independently of a hospital, as well as on behalf of a patient (Manikis et al. 2019; Shakeel et al. 2018; Sriti Thakur et al. 2019). Inadequate explanations of the interventions in literary works prevent a comprehensive review of the reliability and feasibility of the intervention and prevent more research and the practice transfer of the intervention (Al-Sharhan et al. 2019; Kinnunen et al. 2019). However, data authenticity and response time are considered as challenging characteristics in the e-health system handled by nurses (Rudner et al. 2019; Lokshina & Lanting. 2019).

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