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. |
