Staff Members - Benha University
A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard
BMC medical informatics and decision making • 2020
Publication Information
Authors
Shaker El-Sappagh, Farman Ali, Abdeltawab Hendawi, Jun-Hyeog Jang & Kyung-Sup Kwak
Keywords
Not Available
Journal
BMC medical informatics and decision making
Publisher
Not Available Publisher: Not Available
Volume
19 (1), 97
Issue
Not Available
Pages
Not Available
publication.type
Local
Paper Link
Open Link
Supplementary Materials
Not Available
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.
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.