Detailed Information

Cited 39 time in webofscience Cited 48 time in scopus
Metadata Downloads

Mobile healthcare application with EMR interoperability for diabetes patients

Full metadata record
DC Field Value Language
dc.contributor.authorJung, Eun-Young-
dc.contributor.authorKim, Jonghun-
dc.contributor.authorChung, Kyung-Yong-
dc.contributor.authorPark, Dong Kyun-
dc.date.available2020-02-28T16:44:06Z-
dc.date.created2020-02-06-
dc.date.issued2014-09-
dc.identifier.issn1386-7857-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/12339-
dc.description.abstractWith digitalization of medical information and rapid distribution of smart devices, currently, healthcare service is actively planned and developed based on smart devices. By 2015, 500 million smartphone users are expected to use a mobile health application, especially for exercise, diet, and chronic disease management. Unlike other chronic diseases, diabetes can be managed by the patient. Therefore smart mobile device can be a universal tool for self-diabetes management because of its high penetration and functions. A mobile healthcare application for Android OS was developed to provide self-diabetes management. The application consists of Diabetes management, Weight management, Cardio-cerebrovascular risk evaluation, Stress and depression evaluation and Exercise management. The application synchronizes data with hospital's EMR database to provide accurate data with minimized process of data input. This paper introduces detailed structure and functionalities of the application with EMR data synchronization aspect.-
dc.language영어-
dc.language.isoen-
dc.publisherSPRINGER-
dc.relation.isPartOfCLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS-
dc.titleMobile healthcare application with EMR interoperability for diabetes patients-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000341081900024-
dc.identifier.doi10.1007/s10586-013-0315-2-
dc.identifier.bibliographicCitationCLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, v.17, no.3, pp.871 - 880-
dc.identifier.scopusid2-s2.0-84906780955-
dc.citation.endPage880-
dc.citation.startPage871-
dc.citation.titleCLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS-
dc.citation.volume17-
dc.citation.number3-
dc.contributor.affiliatedAuthorJung, Eun-Young-
dc.contributor.affiliatedAuthorPark, Dong Kyun-
dc.type.docTypeArticle-
dc.subject.keywordAuthorMedical information-
dc.subject.keywordAuthorDiabetes mellitus-
dc.subject.keywordAuthorControl-
dc.subject.keywordAuthorPrevention-
dc.subject.keywordAuthorMobile health-
dc.subject.keywordAuthorSmart device-
dc.subject.keywordAuthorHealthcare-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
의과대학 > 의학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Park, Dong Kyun photo

Park, Dong Kyun
College of Medicine (Department of Medicine)
Read more

Altmetrics

Total Views & Downloads

BROWSE