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Knowledge-Based Decision Support in Healthcare via Near Field Communication.

Giuseppe Loseto1, Floriano Scioscia1, Michele Ruta1

  • 1Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, via E. Orabona 4, 70125 Bari, Italy.

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Summary
This summary is machine-generated.

This study introduces a novel Decision Support System (DSS) using Near Field Communication (NFC) to enhance patient care. The system provides real-time medication and patient data, enabling safer, knowledge-intensive medical decisions.

Keywords:
automated reasoningdecision supportknowledge graphnear-field communicationubiquitous healthcare

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Area of Science:

  • Medical Informatics
  • Healthcare Technology
  • Internet of Things (IoT)

Background:

  • Automatic identification technologies are recognized for healthcare benefits.
  • Current systems often lack depth for complex medical tasks.
  • Need for advanced systems to support knowledge-intensive healthcare applications.

Purpose of the Study:

  • To present an innovative Decision Support System (DSS) leveraging Near Field Communication (NFC).
  • To semantically enhance NFC for storing patient and medication data.
  • To enable intelligent decision support for caregivers.

Main Methods:

  • Developed a DSS based on a semantically enhanced Near Field Communication (NFC) standard.
  • Stored annotated medication descriptions and patient case history in NFC transponders.
  • Integrated a lightweight reasoning engine for incompatibility detection and therapy suggestion.
  • Validated the framework with a rheumatology case study and performance tests.

Main Results:

  • Demonstrated a working prototype of the DSS.
  • Preliminary performance tests support the practical feasibility of the approach.
  • The system is independent of back-end infrastructures.
  • Automated reasoning on NFC-extracted knowledge enables effective decision support.

Conclusions:

  • The proposed DSS framework offers a feasible solution for enhanced healthcare decision-making.
  • NFC-based automated reasoning supports critical medical tasks in diverse settings.
  • Applicable in hospitals, first aid, ambulance transport, rehabilitation, and home care.