LAUSR

Written text has been the preferred medium for storing health data ever since Hippocrates, and the medical narrative is what enables a humanized clinical relationship. Can't we admit natural language as a user-accepted technology that has stood against the test of time? We have previously presented a controlled natural language as a human-computer interface for semantic data capture already at the point of care. Our computable language was driven by a linguistic interpretation of the conceptual model of the Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT). This paper presents an extension that allows the capture of measurement results with numerical values and units. We discuss the relation our method can have with emerging clinical information modelling.