Towards a Case-Based Reasoning Method for openEHR-Based Clinical Decision Support
Paper i proceeding, 2011

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.

Case-based reasoning

Clinical decision support




Pariya Kashfi

Chalmers, Tillämpad informationsteknologi

Robledo Jairo Jr.

Göteborgs universitet

Proceedings of The 3rd International Workshop on Knowledge Representation for Health Care (KR4HC’11)


Annan data- och informationsvetenskap

Medicinsk laboratorie- och mätteknik


Informations- och kommunikationsteknik

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