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Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
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Smart ICT MED, mHealth development to basic illness symptoms.

Orawit Thinnukool1, Purida Vientong2, Krongkarn Sutham3

  • 1Innovative Research and Computational Science Lab, College of Arts, Media and Technology, Chiang Mai University, Chiang Mai, Thailand.

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Summary

The Smart ICT MED app empowers users with preliminary symptom assessment and self-monitoring for 54 conditions, improving health literacy and reducing healthcare burdens in Thailand.

Keywords:
Self-medicationdiagnosismobile applicationpre-hospital

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Area of Science:

  • Digital Health
  • Mobile Health Applications
  • Public Health Informatics

Background:

  • Global trend towards integrating information technology in digital health to improve public health services.
  • Persistent challenges include overcrowded medical services and low public health literacy, particularly in Thailand.
  • Over-reliance on healthcare providers hinders self-care capabilities, necessitating innovative solutions.

Purpose of the Study:

  • To develop and evaluate the Smart ICT MED app, a mobile health solution.
  • To empower users in managing basic health conditions through preliminary symptom assessment and self-monitoring.
  • To reduce healthcare burdens, promote health literacy, and support efficient self-diagnosis.

Main Methods:

  • Development of the Smart ICT MED app using data from 54 symptom groups, Clinical Drug Information, medical handbooks, and expert insights.
  • Incorporation of user feedback to ensure a user-friendly design and meet specific user needs.
  • Iterative prototyping, evaluation, and refinement based on medical professional input.

Main Results:

  • The application features four key functions: preliminary symptom assessment, health advice, condition self-monitoring, and hospital location services.
  • Despite publication challenges, the app reached 87 hospitals nationwide via social media, achieving 6,694 downloads.
  • Demonstrated substantial user engagement and validation by medical experts for 54 disease groups.

Conclusions:

  • The Smart ICT MED app serves as a reliable tool for self-diagnosis across 54 disease groups, validated by medical experts.
  • The app's user-friendly interface and comprehensive tools show potential for significant positive public health impact.
  • Future efforts should focus on enhancing user engagement, integrating professional consultations, and optimizing the publication process for wider adoption.