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

IF 0.5 4区计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING

International Journal of Data Warehousing and Mining Pub Date : 2023-03-17 DOI:10.4018/ijdwm.319736

Heng Liu, Rui Liu, Zhimei Liu, Xuena Han, Kaixuan Wang, Li Yang, Fuguo Yang

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引用次数: 0

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.

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使用电子医疗即服务(eHaaS)的护士数据管理框架

电子健康记录(EHR)是一个病人护理数据库，可帮助医生或护士通过健康车(h-cart)辅助分析病人的全面医疗保健情况。电子保健(e-Health)服务根据地理位置有效地共享患者信息，护士、医生或保健从业人员可以在紧急情况下及时、无时间延误地访问患者。在e-Health服务中，护士被认为是数据持有者，可以在云h-cart平台中存储和维护患者的健康记录，从而有效地分析患者的数据。因此，护士需要安全地共享和管理医疗保健系统中的数据访问;这一需求需要突出的解决方案。然而，在电子医疗保健系统中，数据真实性和响应时间被认为是具有挑战性的特征。为此，本文提出了一种基于云计算技术的改进电子医疗服务模型(IeHSM)，以提高医疗信息的数据真实性、可靠性和可访问时间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Data Warehousing and Mining COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

2.40

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The International Journal of Data Warehousing and Mining (IJDWM) disseminates the latest international research findings in the areas of data management and analyzation. IJDWM provides a forum for state-of-the-art developments and research, as well as current innovative activities focusing on the integration between the fields of data warehousing and data mining. Emphasizing applicability to real world problems, this journal meets the needs of both academic researchers and practicing IT professionals.The journal is devoted to the publications of high quality papers on theoretical developments and practical applications in data warehousing and data mining. Original research papers, state-of-the-art reviews, and technical notes are invited for publications. The journal accepts paper submission of any work relevant to data warehousing and data mining. Special attention will be given to papers focusing on mining of data from data warehouses; integration of databases, data warehousing, and data mining; and holistic approaches to mining and archiving