Abstract:
In this paper we describe a standards based information modelling study conducted for the national cardiac registry: ANZACS-QI. The aim was to support data management processes and especially for meta-data management. We have used the openEHR method to faithfully represent three datasets with 91 Archetypes and have exploited the Annotations feature of the specifications and tooling to add project specific meta-data. This study builds on the previous modelling work done for PREDICT dataset in the primary care from the same research programme (VIEW). Current document based data dictionaries and spreadsheet based business and validation rules were expressed successfully together with the data definitions as single-source. We expect this work will improve the data quality of the Registry by providing consistency during its evolution and better communication among the Project team. In line with the National Interoperability Reference Architecture this work can result in a high degree of semantic interoperability with other Sector datasets and information systems.