Towards a Case-Based Reasoning Method for openEHR-Based Clinical Decision Support

In 2007, a team of informaticians and specialists in dentistry in Sweden started a project to develop a CDSS based on openEHR for an oral disease named dry mouth. Since openEHR is an emerging standard, designing a clinical decision support system (CDSS) based on it is an un-explored research area.

According to our findings, so far, very few (almost none) openEHR-based CDSSs have been released. The methodological approach applied in developing an openEHR-based CDSS is presented in this paper. This includes typical activities in developing CDSSs in addition to the activities one needs to carry out in order to develop an openEHR-based system.

In the first phase of this project, the focus has been on openEHR archetype design, knowledge acquisition, and choosing a suitable KRR method based on the available legacy patient records, i.e. a knowledge intensive case-based reasoning method, and the extracted general domain knowledge. We also propose an architecture for such a system with the aim of benefiting from the structured openEHR-based patient data in reasoning.