Is the inter-patient coincidence of a subclinical disorder related to EHR similarity?

Wing Chi Chan, Iris F F Benzie, Y. Liu, C. R. Shyu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

Electronic Health Record (EHR) provide clinical evidence for identifying subclinical diseases and supporting decisions on early intervention. Simple string matching cannot link up the conceptually similar but verbally different clinical terms in patient records, limiting the usefulness of EHR. A novel ontological similarity matching approach supported by the Systematized Nomenclature of Medicine Clinical Terms (SNOMED-CT) is proposed in this paper. The disease terms of a patient record are transformed into a vector space so that each patient record can be characterized by a feature vector. The similarity between the new record and an existing database record was quantified by a kernel function of their feature vectors. The matches are ranked by their similarity scores. To evaluate the proposed matching approach, medical history and carotid ultrasonic imaging finding were collected from 47 subjects in Hong Kong. The dataset formed 1081 pairs of patient records and the ROC analysis was used to evaluate and compare the accuracy of the ontological similarity matching and the simple string matching against the presence or absence of carotid plaques identified in ultrasound examination. It was found that the simple string matching randomly rated the record pairs but the ontological similarity matching provided non-random rating.
Original languageEnglish
Title of host publication2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011
Pages177-180
Number of pages4
DOIs
Publication statusPublished - 17 Oct 2011
Event2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011 - Columbia, MO, United States
Duration: 13 Jun 201115 Jun 2011

Conference

Conference2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011
Country/TerritoryUnited States
CityColumbia, MO
Period13/06/1115/06/11

Keywords

  • clinical decision support
  • Electronic Health Record
  • similarity
  • SNOMED

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics
  • Health Information Management

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