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Related Experiment Videos

ProFUSO: Business process and ontology-based framework to develop ubiquitous computing support systems for chronic

Angel Jimenez-Molina1, Jorge Gaete-Villegas1, Javier Fuentes1

  • 1Department of Industrial Engineering, University of Chile, Beauchef 851, Santiago 8370456, Chile.

Journal of Biomedical Informatics
|April 9, 2018
PubMed
Summary

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This study introduces a new framework to improve chronic disease support systems. It aims to enhance flexibility and integration for better patient and medical staff support.

Area of Science:

  • Digital Health
  • Health Informatics
  • Healthcare Systems Engineering

Background:

  • Advances in telemedicine, ubiquitous computing, and AI are driving new chronic patient support systems.
  • Current systems lack flexibility, leading to integration issues and limited knowledge reuse.
  • Chronic diseases are a major global healthcare challenge requiring innovative solutions.

Purpose of the Study:

  • To propose a flexible framework for developing chronic disease support systems.
  • To address shortcomings in current systems, including integration and knowledge reusability.
  • To create a common methodology for developing and integrating new healthcare applications.

Main Methods:

  • Utilizing Business Process Management Notation to define general requirements for chronic patient support.
Keywords:
Chronic disease managementClinical decision support systems (CDSS)Data architectureInteroperabilityUbiquitous computingUbiquitous health (u-health) services

Related Experiment Videos

  • Proposing technical approaches for a general architecture considering medical organizational needs.
  • Developing and evaluating a framework for chronic patient support applications via a case study.

    • Main Results:

    • A proposed framework designed to overcome integration and reusability challenges.
    • A general architecture accommodating diverse medical organizational requirements.
    • Demonstrated applicability and pertinence of the framework through a case study.

    Conclusions:

    • The proposed framework offers a unified methodology for chronic disease support systems.
    • It facilitates easier integration and enhances the development of sophisticated healthcare applications.
    • The framework supports better care for chronic patients and medical professionals.