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Related Experiment Video

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Platform for efficient switching between multiple devices in the intensive care unit.

F De Backere1, T Vanhove, E Dejonghe

  • 1Femke De Backere, Department of Information Technology Internet Based Communication Networks and Services (IBCN), Ghent University - iMinds, Gaston Crommenlaan 8 (Bus 201), B-9050 Gent, Belgium,

Methods of Information in Medicine
|June 7, 2014
PubMed
Summary

This study introduces a platform for seamless device switching in Intensive Care Units (ICUs), enhancing clinical workflow and decision-making. The system ensures efficient data access across multiple devices, improving healthcare delivery.

Keywords:
Computer-assisted decision makingUser-computer interfaceclinical/organization and administrationdecision support systemsinformation systemsintensive care units

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Area of Science:

  • Health Informatics
  • Medical Technology
  • Clinical Systems Engineering

Background:

  • Handheld devices like tablets and smartphones are increasingly prevalent in clinical settings, including Intensive Care Units (ICUs).
  • Efficient integration of these devices into healthcare workflows is crucial for timely and accurate clinical decisions.

Purpose of the Study:

  • To design a platform facilitating efficient switching between multiple devices in the ICU.
  • To integrate the platform into medical staff workflows, providing tailored, dynamic information at the point of care.

Main Methods:

  • A 3-tier architecture was employed, prioritizing extensibility, scalability, and user experience.
  • Near Field Communication (NFC) enables device identification, displaying relevant medical information tailored to each device's visualization capabilities.
  • A web-centric approach ensures extensibility and portability.

Main Results:

  • A prototype evaluation confirmed the platform's scalability, performance, and user experience.
  • Performance tests demonstrated a linear relationship between response time and data volume.
  • No performance degradation was observed with up to 20 concurrent devices.

Conclusions:

  • The platform offers a scalable and responsive solution for efficient multi-device switching in ICUs.
  • Its web-centric design allows for easy integration of new devices.
  • Evaluated performance and scalability metrics fall within acceptable ranges for clinical application.