Next Article in Journal
Run-Time Mitigation of Power Budget Variations and Hardware Faults by Structural Adaptation of FPGA-Based Multi-Modal SoPC
Next Article in Special Issue
Making Sense of the World: Framing Models for Trustworthy Sensor-Driven Systems
Previous Article in Journal
Distance-Constrained Outage Probability Analysis for Device-to-Device Communications Underlaying Cellular Networks with Frequency Reuse Factor of 2
Previous Article in Special Issue
Performance Evaluation of HARQ Schemes for the Internet of Things
Article Menu
Issue 4 (December) cover image

Export Article

Open AccessArticle
Computers 2018, 7(4), 51; https://doi.org/10.3390/computers7040051

Ontology Middleware for Integration of IoT Healthcare Information Systems in EHR Systems

Faculty of Computing and Information Technology, University of Jeddah, Jeddah 23218, Saudi Arabia
Received: 14 September 2018 / Revised: 28 September 2018 / Accepted: 4 October 2018 / Published: 8 October 2018
Full-Text   |   PDF [916 KB, uploaded 8 October 2018]   |  

Abstract

Healthcare sectors have been at the forefront of the adoption and use of IoT technologies for efficient healthcare diagnosis and treatment. Because healthcare IoT sensor technology obtains health-related data from patients, it needs to be integrated with the electronic healthcare records (EHR) system. Most EHR systems have not been designed for integration with IoT technology; they have been designed to be more patient-centric management systems. The use of the IoT in EHR remains a long-term goal. Configuring IoT in EHR can enhance patient healthcare, enabling health providers to monitor their patients outside of the clinic. To assist physicians to access data resources efficiently, a data model that is semantic and flexible is needed to connect EHR data and IoT data that may help to provide true interoperability and integration. This research proposes a semantic middleware that exploits ontology to support the semantic integration and functional collaborations between IoT healthcare Information Systems and EHR systems. View Full-Text
Keywords: IoT; EHR; healthcare IT; ontology; semantic integration; middleware IoT; EHR; healthcare IT; ontology; semantic integration; middleware
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Alamri, A. Ontology Middleware for Integration of IoT Healthcare Information Systems in EHR Systems. Computers 2018, 7, 51.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Computers EISSN 2073-431X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top