A Semantic Web Technology Based Approach to Identify Hypertensive Patients for Follow-Up/Recall

Author

Mabotuwana, Thusitha D S ; Warren, Jim

Author_Institution

Dept. of Comput. Sci., Auckland Univ., Auckland

fYear

2008

fDate

17-19 June 2008

Firstpage

318

Lastpage

323

Abstract

We present an ontology based approach to identify hypertensive patients who show non-adherence to prescribed medication. Using the Web ontology language (OWL), we have developed an ontology that includes patient prescription details, medication possession ratios (MPRs) and blood pressure measurements (together with other patient related information) that has been populated with production electronic medical record (EMR) data from a general medical practice in New Zealand. We have written queries using the semantic query-enhanced Web rule language (SQWRL) to query this ontology to determine patients who have lapsed medication while having a low MPR. We also discuss some practical issues related to patient recall based on EMR data, as well as the suitability of the proposed scheme.

Keywords

medical information systems; ontologies (artificial intelligence); semantic Web; EMR; New Zealand; Web ontology language; blood pressure measurements; hypertensive patient identification; medication possession ratios; patient prescription details; production electronic medical record; semantic Web technology; semantic query-enhanced Web rule language; Blood pressure; Data mining; Diseases; Guidelines; Hypertension; Laboratories; Medical treatment; OWL; Ontologies; Semantic Web; Clinical audit; hypertension; medication possession ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on

Conference_Location

Jyvaskyla

ISSN

1063-7125

Print_ISBN

978-0-7695-3165-6

Type

conf

DOI

10.1109/CBMS.2008.12

Filename

4562010