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Enhancing knowledge flow in a health care context: a mobile computing approach.

Jonice Oliveira1, Diego Da Silva Souza, Patrícia Zudio de Lima

  • 1Graduate School in Computing Science (PPGI), Federal University of Rio de Janeiro/Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil. jonice@gmail.com.

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Summary

This study introduces an integrated mobile tool for enhanced health knowledge sharing, improving interactions among patients and professionals. The system achieved high precision in file exchange and accurate indoor location services, demonstrating its value in Medicine 2.0 environments.

Keywords:
Medicine 2.0collaborative interactionhealth careknowledge sharingmobile computingsocial computing

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Area of Science:

  • * Health Informatics
  • * Mobile Computing
  • * Knowledge Management

Background:

  • * Mobile computing and wireless communication enable ubiquitous interaction and knowledge exchange.
  • * These technologies support Medicine 2.0, facilitating health knowledge flow among patients, caregivers, doctors, and relatives.
  • * Current systems often lack comprehensive solutions for seamless health knowledge sharing.

Purpose of the Study:

  • * To propose a novel knowledge-sharing environment leveraging mobile computing and contextual information for healthcare communities.
  • * To enable peer-to-peer (P2P) mobile network-based knowledge exchange using user profiles.
  • * To facilitate face-to-face interactions among individuals with shared health interests, needs, or goals.

Main Methods:

  • * Conducted a literature and software app review to identify requirements for health knowledge flow.
  • * Developed an integrated knowledge-sharing environment combining Mobile Exchange of Knowledge (MEK) and Easy to Deploy Indoor Positioning System (EDIPS).
  • * Performed a twofold qualitative evaluation: analyzing MEK-EDIPS efficiency/reliability and conducting a proof of concept with health professionals.

Main Results:

  • * Achieved 100% precision and 80% recall in P2P file exchange using MEK.
  • * EDIPS demonstrated an average indoor location error of <6.28 m.
  • * 94% of health professionals found the tool increased interaction, 72% believed it could enhance knowledge flow, and 67% recommended its use.

Conclusions:

  • * The integrated MEK-EDIPS tool offers superior services compared to existing software solutions.
  • * This tool represents a promising solution for supporting health knowledge flow within the Medicine 2.0 paradigm.
  • * The system effectively enhances communication and knowledge exchange in healthcare settings.