Search Articles

View query in Help articles search

Search Results (1 to 10 of 3680 Results)

Download search results: END BibTex RIS


Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis

Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis

Meanwhile, “Mobile health” merged with “Cloud Computing” and “Cloud.” In addition, from Phase I to Phase II, “Cloud Computing” differentiated into “Internet of Things” and “mobile cloud computing.”

Dongxiao Gu, Xuejie Yang, Shuyuan Deng, Changyong Liang, Xiaoyu Wang, Jiao Wu, Jingjing Guo

J Med Internet Res 2020;22(2):e15142


Analysis of the Security and Privacy Requirements of Cloud-Based Electronic Health Records Systems

Analysis of the Security and Privacy Requirements of Cloud-Based Electronic Health Records Systems

The privacy and security of data migrated to the Cloud represents the main barrier that the Cloud computing paradigm must overcome if a Cloud-based eHealth environment is to be deployed.

Joel JPC Rodrigues, Isabel de la Torre, Gonzalo Fernández, Miguel López-Coronado

J Med Internet Res 2013;15(8):e186


Initial Experience of the Synchronized, Real-Time, Interactive, Remote Transthoracic Echocardiogram Consultation System in Rural China: Longitudinal Observational Study

Initial Experience of the Synchronized, Real-Time, Interactive, Remote Transthoracic Echocardiogram Consultation System in Rural China: Longitudinal Observational Study

A synchronized real-time interactive remote TTE consultation system based on cloud computing technology has been jointly built by Henan Provincial People’s Hospital and two county-level secondary care hospitals 300 miles away.

Luwen Liu, Shaobo Duan, Ye Zhang, Yuejin Wu, Lianzhong Zhang

JMIR Med Inform 2019;7(3):e14248


Light-Induced Fluorescence-Based Device and Hybrid Mobile App for Oral Hygiene Management at Home: Development and Usability Study

Light-Induced Fluorescence-Based Device and Hybrid Mobile App for Oral Hygiene Management at Home: Development and Usability Study

In this study, we built a hybrid mobile app using JAVA for Android and Swift for iOS and, as shown in Figure 3, its architecture is divided into the mobile app part and the cloud server part.

Jun-Min Kim, Woo Ram Lee, Jun-Ho Kim, Jong-Mo Seo, Changkyun Im

JMIR Mhealth Uhealth 2020;8(10):e17881


Developing a Reproducible Microbiome Data Analysis Pipeline Using the Amazon Web Services Cloud for a Cancer Research Group: Proof-of-Concept Study

Developing a Reproducible Microbiome Data Analysis Pipeline Using the Amazon Web Services Cloud for a Cancer Research Group: Proof-of-Concept Study

The Amazon Web Services (AWS) cloud provides an invaluable computational environment for running bioinformatics tools, such as QIIME 2, without the overhead of implementing and supporting a large-scale computing infrastructure [12].

Jinbing Bai, Ileen Jhaney, Jessica Wells

JMIR Med Inform 2019;7(4):e14667


Secure Record Linkage of Large Health Data Sets: Evaluation of a Hybrid Cloud Model

Secure Record Linkage of Large Health Data Sets: Evaluation of a Hybrid Cloud Model

An overview of cloud computing types and service models is shown in Table 1.

Adrian Paul Brown, Sean M Randall

JMIR Med Inform 2020;8(9):e18920


Opportunities and Challenges of Cloud Computing to Improve Health Care Services

Opportunities and Challenges of Cloud Computing to Improve Health Care Services

Bateman and Wood used Amazon’s EC2 service with 100 nodes to assemble a full human genome with 140 million individual reads requiring alignment using a sequence search and alignment by hashing (SSAHA) algorithm [19].

Mu-Hsing Kuo

J Med Internet Res 2011;13(3):e67


An Effective Support System of Emergency Medical Services With Tablet Computers

An Effective Support System of Emergency Medical Services With Tablet Computers

Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (eg, networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal

Kosuke C Yamada, Satoshi Inoue, Yuichiro Sakamoto

JMIR Mhealth Uhealth 2015;3(1):e23