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Choosing reliable biometric connected devices for healthcare is challenging. This study proposes a new framework evaluating devices on medical validity, technical reliability, usability, and more, aiding user decision-making.

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Area of Science:

  • Biomedical Engineering
  • Health Informatics
  • Medical Device Evaluation

Background:

  • Numerous biometric connected devices exist, complicating selection for healthcare needs.
  • Current evaluation methods lack a holistic approach, neglecting connectivity and healthcare utility.

Purpose of the Study:

  • To propose a collaborative evaluation framework for biometric connected devices in healthcare.
  • To address the limitations of existing methods by integrating multiple assessment dimensions.

Main Methods:

  • Developed a six-dimensional framework: medical validity, technical reliability, usability, ergonomy, legal compliance, and accuracy.
  • Utilized a self-administered questionnaire for stakeholder (patients, professionals, payers, manufacturers) assessment.
  • Conducted a case study on telemonitoring for heart failure patients to validate the framework.

Main Results:

  • The framework effectively assessed biometric connected devices across key dimensions.
  • Stakeholder input provided comprehensive evaluation data.
  • The case study demonstrated the framework's utility as a decision-making tool.

Conclusions:

  • The proposed collaborative framework enhances the selection of appropriate biometric connected devices for healthcare.
  • It offers a robust method for evaluating device suitability in real-world healthcare applications.
  • This approach supports informed decision-making for various healthcare stakeholders.