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The B-Health Box: A Standards-Based Fog IoT Gateway for Interoperable Health and Wellbeing Data Collection.

Maria Marques1,2, Vasco Delgado-Gomes1, Fábio Januário1

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The B-Health IoT Box integrates personal health records with wearable sensor data, improving healthcare by addressing interoperability challenges. This framework enhances data collection for better patient care and health management.

Keywords:
EHRFHIRHISIoTdigital healthfog computinginteroperabilitywearablesworkplace

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Area of Science:

  • Digital Health
  • Internet of Things (IoT)
  • Health Informatics

Background:

  • Healthcare systems face challenges with growing and aging populations.
  • Comprehensive Personal Health Records (PHRs) are crucial for reliable care but often lack data due to device interoperability issues.
  • Existing PHRs frequently mirror Electronic Health Records (EHRs), omitting vital contextual health information like physical activity.

Purpose of the Study:

  • To introduce the B-Health IoT Box, a fog computing framework designed for eHealth interoperability and data collection.
  • To enable seamless and secure integration of health and contextual data into interoperable health records.
  • To enrich patient EHRs with data from mobile and wearable sensors.

Main Methods:

  • Deployment of the B-Health IoT Box framework in real-world settings with over 4500 users.
  • Collection and transmission of over 1.5 million health and contextual datasets.
  • Validation of data collection, harmonization, and storage across multiple eHealth platforms.

Main Results:

  • Successful collection, harmonization, and storage of health data in various eHealth platforms.
  • Enrichment of personal EHR data with mobile and wearable sensor data.
  • Demonstrated support for real-time data collection, fast prototyping, and secure cloud integration.

Conclusions:

  • The B-Health IoT Box provides a modular, standards-compliant gateway for digital health ecosystems.
  • FHIR-formatted health data promotes interoperable eHealth ecosystems and equitable access to care.
  • The framework effectively addresses data gaps in PHRs, supporting better medical condition management and treatment follow-up.