Implementation of a clinical decision support system for interpretation of laboratory tests for patients

Ilya Semenov, Georgy Kopanitsa, Anatoly Karpov, Georgy Lakovenko, Andrey Laskovenko

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

3 Citations (Scopus)

Abstract

The paper presents the results of the development and implementation of an expert system that automatically generates doctors' letters based on the results of laboratory tests. Medical knowledge is expressed using a first order predicate based language. The system was implemented and evaluated in the Helix laboratory service.

Original languageEnglish
Title of host publicationpHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health
PublisherIOS Press
Pages184-188
Number of pages5
Volume224
ISBN (Electronic)9781614996521
DOIs
Publication statusPublished - 2016
Event13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016 - Heraklion, Crete, Greece
Duration: 29 May 201631 May 2016

Publication series

NameStudies in Health Technology and Informatics
Volume224
ISSN (Print)09269630
ISSN (Electronic)18798365

Other

Other13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016
CountryGreece
CityHeraklion, Crete
Period29.5.1631.5.16

Fingerprint

Clinical Decision Support Systems
Decision support systems
Expert Systems
Expert systems
Language

Keywords

  • Decision support
  • First order predicates
  • Laboratory information system
  • Telemedicine

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Semenov, I., Kopanitsa, G., Karpov, A., Lakovenko, G., & Laskovenko, A. (2016). Implementation of a clinical decision support system for interpretation of laboratory tests for patients. In pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health (Vol. 224, pp. 184-188). (Studies in Health Technology and Informatics; Vol. 224). IOS Press. https://doi.org/10.3233/978-1-61499-653-8-184

Implementation of a clinical decision support system for interpretation of laboratory tests for patients. / Semenov, Ilya; Kopanitsa, Georgy; Karpov, Anatoly; Lakovenko, Georgy; Laskovenko, Andrey.

pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health. Vol. 224 IOS Press, 2016. p. 184-188 (Studies in Health Technology and Informatics; Vol. 224).

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

Semenov, I, Kopanitsa, G, Karpov, A, Lakovenko, G & Laskovenko, A 2016, Implementation of a clinical decision support system for interpretation of laboratory tests for patients. in pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health. vol. 224, Studies in Health Technology and Informatics, vol. 224, IOS Press, pp. 184-188, 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016, Heraklion, Crete, Greece, 29.5.16. https://doi.org/10.3233/978-1-61499-653-8-184
Semenov I, Kopanitsa G, Karpov A, Lakovenko G, Laskovenko A. Implementation of a clinical decision support system for interpretation of laboratory tests for patients. In pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health. Vol. 224. IOS Press. 2016. p. 184-188. (Studies in Health Technology and Informatics). https://doi.org/10.3233/978-1-61499-653-8-184
Semenov, Ilya ; Kopanitsa, Georgy ; Karpov, Anatoly ; Lakovenko, Georgy ; Laskovenko, Andrey. / Implementation of a clinical decision support system for interpretation of laboratory tests for patients. pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health. Vol. 224 IOS Press, 2016. pp. 184-188 (Studies in Health Technology and Informatics).
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