Exploiting Natural Language Processing for Improving Health Processes

Maurice Van Keulen, Jeroen Geerdink, Gerard C.M. Linssen, Riemer H.J.A. Slart, Onno Vijlbrief

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

36 Downloads (Pure)

Abstract

In the medical world, high quality digital registration in an Electronic Patient Dossier (EPD) of symptoms, diagnoses, treatments, test results, images, inter- pretations, and outcomes becomes commonplace. Together with a shortage of medical professionals, means that they experience pressure at the expense of ac- tual ‘hands on the bed’. On the other hand, EPDs contain a wealth of largely un- used, unstructured textual information. Clinicians primarily communicate with each other through letters and reports. Our main question is: Can Natural Lan- guage Processing (NLP) exploit this wealth? By extracting structured data and using it as features for machine learning, a wide variety of process improvements become possible. Furthermore, it may contribute to the desire of government and health stakeholders to simplify registration and relieve pressure. This paper sketches a few prominent process improvements that we plan to research.
Original languageEnglish
Title of host publicationProceedings of the 7th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017)
EditorsPaolo Ceravolo, Maurice van Keulen, Kilian Stoffel
PublisherCEUR
Pages145-146
Publication statusPublished - Dec 2017
Event7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2017 - Neuchatel, Switzerland
Duration: 6 Dec 20178 Dec 2017
Conference number: 7
http://simpda2017.di.unimi.it/

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS.org
Volume2016
ISSN (Electronic)1613-0073

Conference

Conference7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2017
Abbreviated titleSIMPDA
CountrySwitzerland
CityNeuchatel
Period6/12/178/12/17
Internet address

Keywords

  • Natural language processing
  • Electronic patient record
  • Machine learning
  • Care processes

Fingerprint Dive into the research topics of 'Exploiting Natural Language Processing for Improving Health Processes'. Together they form a unique fingerprint.

  • Cite this

    Van Keulen, M., Geerdink, J., Linssen, G. C. M., Slart, R. H. J. A., & Vijlbrief, O. (2017). Exploiting Natural Language Processing for Improving Health Processes. In P. Ceravolo, M. van Keulen, & K. Stoffel (Eds.), Proceedings of the 7th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017) (pp. 145-146). (CEUR Workshop Proceedings; Vol. 2016). CEUR.