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Health Informatics Journal, Vol. 12, No. 1, 27-39 (2006)
DOI: 10.1177/1460458206061202

Personalizing web information for patients: linking patient medical data with the web via a patient personal knowledge base

Asma Al-Busaidi

School of Computer Science, Cardiff University, Queen’s Buildings, 5 The Parade, Roath, Cardiff CF24 3AA, UK, A.Al-Busaidi{at}cs.cardiff.ac.uk

Alex Gray

School of Computer Science, Cardiff University, Queen’s Buildings, 5 The Parade, Roath, Cardiff CF24 3AA, UK, W.A.Gray{at}cs.cardiff.ac.uk

Nick Fiddian

School of Computer Science, Cardiff University, Queen’s Buildings, 5 The Parade, Roath, Cardiff CF24 3AA, UK, N.J.Fiddian{at}cs.cardiff.ac.uk

This paper describes ongoing study that examines problems with existing patient health information sources and investigates an approach for linking (i.e. integrating) data from a patient’s medical record(s) with relevant health information on the web. The aim is to provide patients with simplified, customized and controlled access to web information. Data from patient medical records are extracted and linked with relevant health information on the web through a web search service. These are made available to patients through a web portal that we refer to as the patient knowledge base (PatientKB). Our integration approach utilizes term semantics (i.e. meaning) to enrich the web search and simplify medical terms for patients. In the current implementation, patients have guided, secure and relatively customized access to basic and relevant web information on their diagnoses. Future implementation will attempt to achieve further customization, extensibility and safety features. This paper investigates how ideas presented in an earlier study can be implemented.

Key Words: heterogeneity • knowledge base • ontology • patient information • personalization


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