Automation of e-health systems through mobile devices and semantic technology

Besim Abdullai

MPRA Paper from University Library of Munich, Germany

Abstract: In the time where the digital world is moving to mobile devices, new opportunities are emerging for the e-health systems. We live in the time when data are stored in different databases and different ways. This imposed the use of ontologies to resolve interoperability issues. Ontologies can be used for automation of e-health system data flow, enabling automated responses in real time to patient data entered into the medical record from Physicians and hospitals, and by offering caregivers evidence-based, best-practice information about how to act in emergency or nonemergency situations. Mobile e-health semantic systems help Physicians tracking better the health of their patients, avoid mistakes and act faster in emergency situations Semantic technology and database technology in combination with mobile devices together make a combined information system which will revolutionize the way how today’s health institutions treat their patients.

Keywords: E-health; mobile computing; semantic technology; ontologies; system modelling (search for similar items in EconPapers)
JEL-codes: C88 I0 I1 L86 (search for similar items in EconPapers)
Date: 2012-06-01, Revised 2012-06-01
New Economics Papers: this item is included in nep-hea and nep-ict
References: View complete reference list from CitEc
Citations: Track citations by RSS feed

Published in Proceedings of ICEIRD 2012 2012.1(2012): pp. 16-26

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/39727/1/MPRA_paper_39727.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:39727

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().