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. 2022 Feb 19;22(4):1646.
doi: 10.3390/s22041646.

A Proof-of-Concept IoT System for Remote Healthcare Based on Interoperability Standards

Lenin-Guillermo Lemus-Zúñiga  1 , Juan M Félix  1 , Alvaro Fides-Valero  1 , José-Vte Benlloch-Dualde  2 , Antonio Martinez-Millana  1
Affiliations

A Proof-of-Concept IoT System for Remote Healthcare Based on Interoperability Standards

Lenin-Guillermo Lemus-Zúñiga et al. Sensors (Basel). .

Abstract

The Internet of Things paradigm in healthcare has boosted the design of new solutions for the promotion of healthy lifestyles and the remote care. Thanks to the effort of academia and industry, there is a wide variety of platforms, systems and commercial products enabling the real-time information exchange of environmental data and people's health status. However, one of the problems of these type of prototypes and solutions is the lack of interoperability and the compromised scalability in large scenarios, which limits its potential to be deployed in real cases of application. In this paper, we propose a health monitoring system based on the integration of rapid prototyping hardware and interoperable software to build system capable of transmitting biomedical data to healthcare professionals. The proposed system involves Internet of Things technologies and interoperablility standards for health information exchange such as the Fast Healthcare Interoperability Resources and a reference framework architecture for Ambient Assisted Living UniversAAL.

Keywords: FHIR; IoT; e-health; ehealth; health data; interoperability; sensors; universAAL.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure A1
Figure A1
Sequence diagram of the login operation.
Figure A2
Figure A2
Sequence diagram of the sensor-management operations.
Figure A3
Figure A3
Sequence diagram of the interoperability services with FHIR and universAAL system.
Figure 1
Figure 1
All the hardware components used in the system.
Figure 2
Figure 2
Architecture of the IoT-Health care system.
Figure 3
Figure 3
Database diagram of the system.
Figure 4
Figure 4
Logic diagram of the system components.
Figure 5
Figure 5
Visualisation of historical data by role (a) patient, (b) doctor.
Figure 6
Figure 6
The FHIR validator consists of a “.jar” file which validates the resources that are in JSON format.
Figure 7
Figure 7
Event of data registration in universAAL.
See this image and copyright information in PMC

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