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Wearable Systems for Unveiling Collective Intelligence in Clinical Settings.

Martina Pulcinelli1, Mariangela Pinnelli1, Carlo Massaroni1,2

  • 1Research Unit of Measurements and Biomedical Instrumentation, Department of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo 21, 00128 Roma, Italy.

Sensors (Basel, Switzerland)
|December 23, 2023
PubMed
Summary
This summary is machine-generated.

Collective intelligence (CI) assessment in healthcare teams is crucial for patient safety. Wearable technology offers a promising, objective method to monitor team dynamics and enhance group performance, moving beyond traditional surveys.

Keywords:
assessing group behaviorsassessment of collective intelligencephysiological parameters estimationwearable systems

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Area of Science:

  • Healthcare team dynamics
  • Human-computer interaction
  • Medical technology assessment

Background:

  • Breakdowns in clinical teamwork, leadership, and communication can negatively impact patient safety.
  • Traditional survey methods for assessing team dynamics and collective intelligence (CI) are limited in effectiveness.
  • Wearable technologies present a novel approach to objectively monitor individual and group behaviors relevant to CI.

Purpose of the Study:

  • To provide a comprehensive overview of parameters for evaluating CI in clinical settings.
  • To identify current and potential wearable technologies for CI assessment in healthcare.
  • To analyze the working principles, advantages, and disadvantages of relevant wearable devices.

Main Methods:

  • Narrative review of existing literature on CI assessment in clinical settings.
  • Identification and categorization of group and individual parameters indicative of CI.
  • Evaluation of wearable technologies applicable to monitoring these parameters.

Main Results:

  • Wearable sensors can capture behavioral and individual features reflecting CI, such as communication patterns and engagement.
  • Various wearable devices, including smartwatches and motion sensors, show potential for real-time CI monitoring.
  • The review outlines specific parameters and corresponding technologies, highlighting their pros and cons.

Conclusions:

  • Wearable technology offers a structured and objective approach to assessing collective intelligence in healthcare teams.
  • This review provides a guide for future research and implementation of CI monitoring in medical contexts.
  • Objective CI assessment using wearables can contribute to improved teamwork, performance, and patient safety.