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The concepts will be based on international standards such as IHE
XDS to provide a future-proof, vendor independent solution.
For the archetype-based search, we will take into account EN/ISO
13606 and HL7 CDA, both important international EHR standards.
As a proof-of-concept we will focus on information needs in the
treatment of patients suffering from diabetes. This focus
was chosen as diabetes represents a chronic disease in which much
information from different sources accumulates within the EHR over
time, thus making the identification of the relevant information
a challenging task.
The information needs analysis will be based on interviews
and observation of clinical EHR users and the analysis of clinical
guidelines. The resulting information needs patterns will then form
the basis for the concept of a generic document crawler that
will support EHR users in finding information efficiently.
The trial implementation of the document crawler will be
evaluated by assessing precision and recall of information retrieval
within the EHR, combined with user satisfaction surveys and usability
evaluations.
The outcome of the project will be a better knowledge of information
needs of clinical EHR users – the initial scope of diabetes treatment
can easily be expanded in follow-up projects - and a concept and
a trial implementation of efficient EHR information retrieval techniques.
We expect that our results will also influence the further development
of parts of international standards such as IHE XDS.
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