Intelligent audit code generation from free text in the context of neurosurgery

Sedigheh Khademi Habibabadi, Pari Delir Haghighi, Philip Mark Lewis, Frada Burstein, Christopher Palmer

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Abstract

Clinical auditing requires codified data for aggregation and analysis of patterns. However in the medical domain obtaining structured data can be difficult as the most natural, expressive and comprehensive way to record a clinical encounter is through natural language. The task of creating structured data from naturally expressed information is known as information extraction. Specialised areas of medicine use their own language and data structures; the translation process has unique challenges, and often requires a fresh approach. This research is devoted to creating a novel semi-automated method for generating codified auditing data from clinical notes recorded in a neurosurgical department in an Australian teaching hospital. The method encapsulates specialist knowledge in rules that instantaneously make precise decisions for the majority of the matches, followed up by dictionary-based matching of the remaining text.

Original languageEnglish
Title of host publicationProceedings of the 26th Australasian Conference on Information Systems (ACIS 2015)
EditorsFrada Burstein, Helana Scheepers, Gaye Deegan
Place of PublicationAdelaide SA Australia
PublisherAustralasian Conference on Information Systems
Pages1 - 12
Number of pages12
ISBN (Print)9780646953373
Publication statusPublished - 1 Jan 2015
EventAustralasian Conference on Information Systems 2015 - Adelaide, Australia
Duration: 30 Nov 20154 Dec 2015
Conference number: 26th

Conference

ConferenceAustralasian Conference on Information Systems 2015
Abbreviated titleACIS 2015
CountryAustralia
CityAdelaide
Period30/11/154/12/15

Keywords

  • Audit coding
  • Electronic health records
  • Health informatics
  • Information extraction
  • Neurosurgery

Cite this

Habibabadi, S. K., Delir Haghighi, P., Lewis, P. M., Burstein, F., & Palmer, C. (2015). Intelligent audit code generation from free text in the context of neurosurgery. In F. Burstein, H. Scheepers, & G. Deegan (Eds.), Proceedings of the 26th Australasian Conference on Information Systems (ACIS 2015) (pp. 1 - 12). Australasian Conference on Information Systems.