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A Decision Support System for Telemedicine Through the Mobile Telecommunications Platform

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Abstract

In this paper we have discussed the application of artificial intelligence in telemedicine using mobile device. The main goal of our research is to develop methods and systems to collect, analyze, distribute and use medical diagnostics information from multiple knowledge sources and areas of expertise. Physicians may collect and analyze information obtained from experts worldwide with the help of a medical decision support system. In this information retrieval system, modern communication tools such as computers and mobile phones can be used efficiently. In this work we propose a medical decision support system using the general packet radio service (GPRS). GPRS, a data extension of the mobile telephony standard Global system for mobile communications (GSM) is emerging as the first true packet-switched architecture to allow mobile subscribers to benefit from high-speed transmission rates and run JAVA based applications from their mobile terminals. An academic prototype of a medical decision support system using mobile device was implemented. The results reveal that the system could find acceptance from the medical community and it could be an effective means of providing quality health care in developing countries.

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Authors and Affiliations

  1. Faculty of Engineering, Electronics Engineering Department, Biomedical Engineering Division, Erciyes University, Kayseri, Turkey

    Ali Eren & Osman Coskun

  2. Department of Electrical and Electronics Engineering, Kahramanmaras Sutcu Imam University, 46601, Kahramanmaraş, Turkey

    Abdulhamit Subasi

  3. Kahramanmaraş Sütçü İmam Üniversitesi Elektrik – Elektronik Mühendisliği Bölümü Avşar Yerleşkesi, Kahramanmaraş, Turkey

    Abdulhamit Subasi

Authors
  1. Ali Eren
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  2. Abdulhamit Subasi
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  3. Osman Coskun
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Correspondence to Abdulhamit Subasi.

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Eren, A., Subasi, A. & Coskun, O. A Decision Support System for Telemedicine Through the Mobile Telecommunications Platform. J Med Syst 32, 31–35 (2008). https://doi.org/10.1007/s10916-007-9104-x

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  • DOI: https://doi.org/10.1007/s10916-007-9104-x

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