Databases in Networked Information Systems

Abstract

Standardized Electronic Health Records (EHRs) make use of archetypes for representation of data. In combination with terminologies, the archetypes enable powerful possibilities for semantic querying of repository data. Such querying enables longitudinal processing of health data, regardless of the originating system. The semantics of data is better understood by viewing the data in the context of the user interface (UI). The paper demonstrates the feasibility of creating a query interface. It introduces a general purpose database transformation channel. It will shorten the application development process and increase the quality of the software by automatically generating software artifacts that are often made manually (and are prone to errors). It is possible to know the locations of each leaf datum within information conforming to an archetype. The tool helps in the inspection of an archetype in advance, which can yield a set of path fragments. It can be used to query instances which conform to an archetype for intelligent querying.