Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

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

Al-Busaidi, Asma, Gray, William Alexander and Fiddian, Nicholas John 2006. Personalizing web information for patients: linking patient medical data with the web via a patient personal knowledge base. Health informatics journal 12 (1) , pp. 27-39. 10.1177/1460458206061202

Full text not available from this repository.

Abstract

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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Uncontrolled Keywords: heterogeneity ; knowledge base ; ontology ; patient information ; personalization
Publisher: Sage
ISSN: 1460-4582
Last Modified: 04 Jun 2017 01:42
URI: http://orca.cf.ac.uk/id/eprint/1841

Citation Data

Cited 24 times in Google Scholar. View in Google Scholar

Cited 16 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item