Evaluating the effectiveness of modeling principles for data models

Miguel Humberto Torres-Urquidy, Amit Acharya, Pedro Hernandez-Cott, Jonathan Misner, Titus Schleyer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We evaluated the effectiveness of modeling principles intended to harmonize the information representation between terminology-ontology models and information models. Our study utilized dental clinical statements and sample dental record questions. We asked experts to define the equivalency (mapping) of these elements and measured their agreement. We modified the data elements and asked the experts to conduct subsequent mappings. We measured the agreement and compared the levels of agreement before and after changes, expecting that agreement would increase. The level of agreement (Kappa) before modeling was 0.3 to 0.4 and after was 0.5 (p<0.05). The difference was small but statistically significant. Our results suggest that the modeling principles improve information representation since agreement increased.

Original languageEnglish (US)
Title of host publicationAdvances in Information Technology and Communication in Health
PublisherIOS Press
Pages525-533
Number of pages9
ISBN (Print)9781586039790
DOIs
StatePublished - Jan 1 2009
Event2009 Conference on Advances in Information Technology and Communication in Health: Revolutionizing Health Care with Informatics - From Research to Practice, ITCH 2009 - Victoria, BC, Canada
Duration: Feb 19 2009Feb 22 2009

Publication series

NameStudies in Health Technology and Informatics
Volume143
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other2009 Conference on Advances in Information Technology and Communication in Health: Revolutionizing Health Care with Informatics - From Research to Practice, ITCH 2009
CountryCanada
CityVictoria, BC
Period2/19/092/22/09

Fingerprint

Dental Records
Terminology
Data structures
Tooth
Ontology

Keywords

  • Data models
  • Dental informatics
  • Dentistry
  • Evaluation methods
  • Information modeling
  • Ontology

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Torres-Urquidy, M. H., Acharya, A., Hernandez-Cott, P., Misner, J., & Schleyer, T. (2009). Evaluating the effectiveness of modeling principles for data models. In Advances in Information Technology and Communication in Health (pp. 525-533). (Studies in Health Technology and Informatics; Vol. 143). IOS Press. https://doi.org/10.3233/978-1-58603-979-0-525

Evaluating the effectiveness of modeling principles for data models. / Torres-Urquidy, Miguel Humberto; Acharya, Amit; Hernandez-Cott, Pedro; Misner, Jonathan; Schleyer, Titus.

Advances in Information Technology and Communication in Health. IOS Press, 2009. p. 525-533 (Studies in Health Technology and Informatics; Vol. 143).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Torres-Urquidy, MH, Acharya, A, Hernandez-Cott, P, Misner, J & Schleyer, T 2009, Evaluating the effectiveness of modeling principles for data models. in Advances in Information Technology and Communication in Health. Studies in Health Technology and Informatics, vol. 143, IOS Press, pp. 525-533, 2009 Conference on Advances in Information Technology and Communication in Health: Revolutionizing Health Care with Informatics - From Research to Practice, ITCH 2009, Victoria, BC, Canada, 2/19/09. https://doi.org/10.3233/978-1-58603-979-0-525
Torres-Urquidy MH, Acharya A, Hernandez-Cott P, Misner J, Schleyer T. Evaluating the effectiveness of modeling principles for data models. In Advances in Information Technology and Communication in Health. IOS Press. 2009. p. 525-533. (Studies in Health Technology and Informatics). https://doi.org/10.3233/978-1-58603-979-0-525
Torres-Urquidy, Miguel Humberto ; Acharya, Amit ; Hernandez-Cott, Pedro ; Misner, Jonathan ; Schleyer, Titus. / Evaluating the effectiveness of modeling principles for data models. Advances in Information Technology and Communication in Health. IOS Press, 2009. pp. 525-533 (Studies in Health Technology and Informatics).
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