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

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  • Abdullai, Besim

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.

Suggested Citation

  • Abdullai, Besim, 2012. "Automation of e-health systems through mobile devices and semantic technology," MPRA Paper 39727, University Library of Munich, Germany, revised 01 Jun 2012.
  • Handle: RePEc:pra:mprapa:39727
    as

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    File URL: https://mpra.ub.uni-muenchen.de/39727/1/MPRA_paper_39727.pdf
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    References listed on IDEAS

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    1. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    2. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    3. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    4. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    5. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    6. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    7. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    8. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    9. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    More about this item

    Keywords

    E-health; mobile computing; semantic technology; ontologies; system modelling;

    JEL classification:

    • I0 - Health, Education, and Welfare - - General
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • I1 - Health, Education, and Welfare - - Health

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