A Platform for Electronic Health Record Sharing in Environments with Scarce Resource Using Cloud Computing

Author:

Kacamarga Muhamad Fitra,Budiarto Arif,Pardamean Bens

Abstract

One of the main objectives of Electronic Health Record (EHR) is the transferability of patient data from one location to another. Many locations with scarce resources, particularly unreliable internet connectivity, face difficulties in accessing and sharing EHR data. This article presents our proposed design that utilizes Amazon Web Services (AWS) for a sharing mechanism platform among distributed healthcare organizations found in an environment with scarce resources. We proposed the use of database replication mechanism and REST (Representational State Transfer) web service to perform information exchange among health organizations and public health information systems.

Publisher

International Association of Online Engineering (IAOE)

Subject

General Engineering

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Comparative Analysis of Cloud-Based Healthcare Platforms through Effective Machine Learning Approaches;Journal of Information Technology and Digital World;2024-09

2. PREVENTIVE MEASURES OF RESPIRATORY DISEASES AND IMPACT ON EMPLOYEE MORBIDITY - POSSIBILITIES OF USING ELECTRONIC PLATFORMS;Military Medical Science Letters;2024-06-03

3. Database Design for Pre-Eclampsia Case Administration;2023 8th International Conference on Information Technology and Digital Applications (ICITDA);2023-11-17

4. Web Development of Direct-to-consumer Genetics Testing;2022 4th International Conference on Cybernetics and Intelligent System (ICORIS);2022-10-08

5. DNAku Consumers Profile: One of The First Direct to Customer Genetics Testing in Indonesia;IOP Conference Series: Earth and Environmental Science;2021-07-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3