From Individual EHR Maintenance to Generalised Findings: Experiments for Application of NLP to Patient-Related Texts

  • Galia Angelova
  • Dimitar Tcharaktchiev
  • Svetla Boytcheva
  • Ivelina Nikolova
  • Hristo Dimitrov
  • Zhivko Angelov
Part of the Studies in Computational Intelligence book series (SCI, volume 473)

Abstract

Experiments in automatic analysis of free texts in Bulgarian hospital discharge letters are presented. Natural Language Processing (NLP) has been applied to medical texts since decades but high-quality results have been demonstrated only recently. The progress in automatic text analysis opens new directions for secondary use of Electronic Health Records (EHR). It enables also the design and development of software systems which provide better patient access to his/her health records as well as better maintenance of large EHR archives. We report about successful extraction of important patient-related entities from hospital EHR texts and consider several scenarios for application of NLP modules in healthcare software systems.

Keywords

Information Extraction AI in Health Informatics 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Galia Angelova
    • 1
  • Dimitar Tcharaktchiev
    • 2
  • Svetla Boytcheva
    • 1
    • 3
  • Ivelina Nikolova
    • 1
  • Hristo Dimitrov
    • 2
  • Zhivko Angelov
    • 1
  1. 1.Institute of Information and Communication TechnologiesBulgarian Academy of SciencesSofiaBulgaria
  2. 2.University Specialised Hospital for Active Treatment of Endocrinology ”Acad. I. Penchev” (USHATE)Medical UniversitySofiaBulgaria
  3. 3.American University in BulgariaBlagoevgradBulgaria

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