Maqbool Hussain

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Heterogeneity in the management of the complex medical data, obstructs the attainment of data level interoperability among Health Information Systems (HIS). This diversity is dependent on the compliance of HISs with different healthcare standards. Its solution demands a mediation system for the accurate interpretation of data in different heterogeneous(More)
BACKGROUND The provision of health and wellness care is undergoing an enormous transformation. A key element of this revolution consists in prioritizing prevention and proactivity based on the analysis of people's conducts and the empowerment of individuals in their self-management. Digital technologies are unquestionably destined to be the main engine of(More)
Semantic web is dependent on extensive knowledge management by inter linking resources on the web using matching techniques. This role is played by the progressing domain of ontology matching, by introducing ontology matching tools. The focus of these matching tools is limited to matching techniques and automation only, rather than expressive formal(More)
Information sharing within or cross enterprise is the core need of each enterprise to fully benefit from the state of the art technologies. On one hand, it allows utilizing the resources efficiently, and on the other hand, it expedites the processes of enterprise. Healthcare information is more complex and has diverse dimensions. Sharing this information by(More)
SPHeRe is an ontology matching system that utilizes cloud infrastructure for matching large scale ontologies and focus on alignment representation to be stored in the Mediation Bridge Ontology (MBO). MBO is the mediation ontology that stores all the alignments generated between the matched ontolo-gies and represents it in a manner that provides maximum(More)
Healthcare systems are very complex due to extreme heterogeneity in their data and processes. Researchers and practitioner need to make systems interoperable and integrate for the benefit of all the stakeholders including hospitals, clinicians, medical support staff, and patients. The broader goal of interoperability can only be achieved when standards are(More)
3 Exploring HL7 interoperability with the local clinical databases. Heterogeneity in data models-Difficult to bring local clinical schemas in compliance with HL7 messaging. HL7 version 3 messages can be parsed to any relational database composite of tables attributes and associated identifiers. In this paper, we explored the RIM to clinical schema mappings(More)