Exploring mobile health in a private online social network.
Health information is very vulnerable. Certain individuals or corporate organisations will continue to steal it similar to bank account data once data is on wireless channels. Once health information is part of a social network, corresponding privacy issues also surface. Insufficiently trained emplo...
| Publicado en: | International Journal of Electronic Healthcare Vol. 8; no. 1; pp. 51 - 76 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Inderscience Enterprises Ltd.
2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129591270&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129591270 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17418453 6BX0 jtl: International Journal of Electronic Healthcare issn: 17418453 maglogo: N pubinfo: dt: 2015 vid: 8 iid: 1 pid: 950 pub: Inderscience Enterprises Ltd. place: CH-1215 Geneve 15, <Blank> artinfo: ui: 129591270 129591270 NLM26559073 10.1504/ijeh.2015.071643 NLM26559073 129591270 ppf: 51 ppct: 25 formats: tig: atl: Exploring mobile health in a private online social network. aug: au: Memon, Qurban A. Mustafa, Asma Fayes affil: EE Department, College of Engineering, UAE University, Al-Ain 15551, UAE. sug: subj: Privacy and Confidentiality Social Networking Telemedicine Methods Monitoring, Physiologic Methods Mobile Applications User-Computer Interface Scales Social Readjustment Rating Scale ab: Health information is very vulnerable. Certain individuals or corporate organisations will continue to steal it similar to bank account data once data is on wireless channels. Once health information is part of a social network, corresponding privacy issues also surface. Insufficiently trained employees at hospitals that pay less attention to creating a privacy-aware culture will suffer loss when mobile devices containing health information are lost, stolen or sniffed. In this work, a social network system is explored as a m-health system from a privacy perspective. A model is developed within a framework of data-driven privacy and implemented on Android operating system. In order to check feasibility of the proposed model, a prototype application is developed on Facebook for different services, including: i) sharing user location; ii) showing nearby friends; iii) calculating and sharing distance moved, and calories burned; iv) calculating, tracking and sharing user heart rate; etc. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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