To bridge the interoperability gap between local infrastructures and CDSS, we focuse on developing CDSS using an openEHR-based data repository (see HaMSTR). OpenEHR allows the representation of complex clinical concepts in a standardised and semantically-enriched format to provide data and information about these concepts for interexchange with other institutions or querying. Furthermore, the reference model provides a standardised querying language (Archetype Query Language, AQL) and terminology binding features.
As a first step, we developed a CDSS prototype for the paediatric intensive care of the Hannover Medical School. The CDSS is based on expert rules and supports the detection of the Systemic Inflammatory Respone Syndrome (SIRS). Further research work will comprise:
- Enhancement of the knowledge base (sepsis, organ dysfunction...)
- Use of other knowledge representation formats (Guideline Definition Language, Arden Syntax...)
- Testing of data-driven, machine learning algorithms
- Design as live-system
- Evaluation of the reuse at other institutions implementing the openEHR reference model