Towards improved information quality: The integration of body area network data within electronic health records

Abstract

An Electronic Health Record (EHR) is internationally recognised as the primary digital format to communicate and store patient clinical information. The vast majority of patient vital sign monitoring solutions provide limited if any opportunities to seamlessly integrate real-time patient vital sign readings e.g. ECG in a coherent or unified approach. In this paper, we highlight the data quality benefits of integrating remote patient monitoring solutions i.e. a Body Area Network (BAN) datasets within patient EHR solutions. The presented Data Management System-Tripartite Ontology Medical Reasoning Model (TOMRM) solution demonstrates how patient care may be improved through the reduction of false alarm generations. © 2009 Springer Berlin Heidelberg.