Semantic Interoperability and Data Mapping in EHR Systems

We present our preliminary research work intended to lay the foundation for providing a cost effective, secure and reliable system for real time clinical data acquisition required for analysis. We identify a specific problem, namely the need to achieve interoperability by applying a standards based data modeling approach to achieve a common platform that serves to improve the health data mapping of unstructured data and addresses ambiguity issues when dealing with health data from heterogeneous systems. We propose an original algorithm directed at mapping unstructured data and performing semantic integration to form a uniform interoperable system. In order to achieve this, efficient data modeling techniques are introduced for improving data storage and extraction, as demonstrated by our preliminary results.