A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard.

Journal: BMC medical informatics and decision making
Published Date: May 10, 2019

Abstract

BACKGROUND: Mobile health (MH) technologies including clinical decision support systems (CDSS) provide an efficient method for patient monitoring and treatment. A mobile CDSS is based on real-time sensor data and historical electronic health record (EHR) data. Raw sensor data have no semantics of their own; therefore, a computer system cannot interpret these data automatically. In addition, the interoperability of sensor data and EHR medical data is a challenge. EHR data collected from distributed systems have different structures, semantics, and coding mechanisms. As a result, building a transparent CDSS that can work as a portable plug-and-play component in any existing EHR ecosystem requires a careful design process. Ontology and medical standards support the construction of semantically intelligent CDSSs.

Authors

  • Shaker El-Sappagh
    Department of Mathematics, College of Science, King Saud University, PO 2455, Riyadh, Saudi Arabia.
  • Farman Ali
    Department of Computer Science, Abdul Wali Khan University Mardan, Pakistan.
  • Abdeltawab Hendawi
    Computer Science, University of Virginia, Charlottesville, USA.
  • Jun-Hyeog Jang
    Department of Biochemistry, School of Medicine, Inha University, Incheon, 400-712, South Korea.
  • Kyung-Sup Kwak
    Department of Information and Communication Engineering, Inha University, 100 Inharo, Nam-gu, Incheon, 22212, South Korea. kskwak@inha.ac.kr.

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