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Health Information Technology and Healthcare Information System01:30

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LWAs computational platform for e-consultation using mobile devices: cases from developing nations.

Emmanuel Ajayi Olajubu1, Oluwatoyin Helen Odukoya1, Solomon Adegbenro Akinboro2

  • 1Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|June 6, 2014
PubMed
Summary

This study introduces a telemedicine platform using mobile devices to connect remote areas in developing nations with medical experts, improving healthcare access. The system efficiently processes information, reducing casualties in underserved regions.

Keywords:
AgentrollerGSMICTLWAsM/M/1mobile agent

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Area of Science:

  • Medical Informatics
  • Telecommunications Engineering
  • Public Health

Background:

  • Developing nations face significant shortages of medical experts, particularly in remote areas lacking adequate healthcare facilities.
  • Mobile devices offer a ubiquitous platform for information dissemination and access in these regions.
  • Vulnerable populations in interior regions are disproportionately affected by limited medical resources.

Purpose of the Study:

  • To propose and evaluate a telemedicine platform designed for vulnerable, underserved areas in developing nations.
  • To leverage mobile device technology for remote medical consultations and information exchange.
  • To address the disparity in healthcare access between urban centers and remote interiors.

Main Methods:

  • A framework utilizing mobile devices with LightWeight Agents (LWAs) to transmit consultation requests to urban medical experts.
  • A system architecture comprising AgenRoller, LWAs, a mobile front-end, and a medical server back-end.
  • Modeling the system as an M/M/1/c queuing system and simulating it using Simevents in MATLAB Simulink.

Main Results:

  • Simulation results demonstrated key performance metrics including average queue length and entity departure rates.
  • The analysis provided insights into the information processing capacity of the telemedicine system.
  • The system's efficiency in handling consultation requests was evaluated through queuing system metrics.

Conclusions:

  • Successful implementation of this telemedicine system can extend urban medical expertise to remote areas.
  • The platform has the potential to significantly reduce casualties in vulnerable populations, especially in Sub-Saharan Africa.
  • This technological solution offers a scalable approach to improving healthcare accessibility in developing nations.