title: Adaptive filtering and prioritizing of diabetes consumer information for promoting consumer-provider partnership and communication.
abstract: To engender patient partnership in care we have designed an algorithm to filter and prioritize diabetes consumer information. This enables customized adaptive presentation for patients to highlight the most relevant issues. The profile for adaptation considers significant data (clinical and nonclinical), patient knowledge level and interests. An XML based implementation is the subject of ongoing experimental assessment.
authors.affiliation: Advanced Computing Research Centre, University of South Australia, Adelaide, Australia.
authors.forename: Chunlan
authors.initials: C
authors.lastname: Ma
authors.forename: Jim
authors.initials: J
authors.lastname: Warren
authors.forename: Jan
authors.initials: J
authors.lastname: Stanek
mesh_terms: D003142:Communication; D003920:Diabetes Mellitus / Q000628:therapy*; D006801:Humans; D016247:Information Storage and Retrieval; D020407:Internet; D010353:Patient Education as Topic; D010358:Patient Participation; D010817:Physician-Patient Relations; D011381:Programming Languages