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Developing framework for agent- based diabetes disease management system: user perspective.

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Area of Science:

  • Health Informatics
  • Artificial Intelligence in Healthcare
  • Telemedicine

Background:

  • Agent mobility is key for remote electronic health and telemedicine.
  • Diabetes information management requires a national-level framework.
  • Identifying essential agents is crucial for effective diabetes care.

Purpose of the Study:

  • To develop a national framework for agent-based diabetes information management.
  • To identify the specific agents required for this framework.
  • To prioritize data access technologies for the proposed system.

Main Methods:

  • A Delphi method questionnaire was designed based on literature review, organizational analysis, and expert interviews.
  • Twenty experts from medical, health information management, and software fields participated.
  • Data analysis used SPSS 17, with results visualized using FREEPLANE mind mapping software.

Main Results:

  • Mobile technology was identified as the highest priority for data access (mean 1.80).
  • SMS and email followed, with mean scores of 2.80.
  • Internet, web, phone, and Wi-Fi were ranked lower in priority for data access.

Conclusions:

  • Social and human aspects are essential for effective diabetes healthcare delivery.
  • A systematic approach to agent system implementation is necessary, considering user acceptance, budget, and motivation.
  • Identifying barriers and opportunities is crucial for successful deployment of agent-based health information systems.