Classification of Clinical Notes from a Heart Failure Telehealth Network

Fabian Wiesmüller (Speaker), Fabian Wiesmüller, Aaron Lauschensky, Martin Baumgartner, Dieter Hayn, Karl Kreiner, Bettina Fetz, Luca Brunelli, Gerhard Pölzl, Bernhard Pfeifer, Sabrina Neururer, Günter Schreier

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review


Heart failure is a common chronic disease which is associated with high re-hospitalization and mortality rates. Within the telemedicine-assisted transitional care disease management program HerzMobil, monitoring data such as daily measured vital parameters and various other heart failure related data are collected in a structured way. Additionally, involved healthcare professionals communicate with one another via the system using free-text clinical notes. Since manual annotation of such notes is too time-consuming for routine care applications, an automated analysis process is needed. In the present study, we established a ground truth classification of 636 randomly selected clinical notes from HerzMobil based on annotations of 9 experts with different professional background (2 physicians, 4 nurses, and 3 engineers). We analyzed the influence of the professional background on the inter annotator reliability and compared the results with the accuracy of an automated classification algorithm. We found significant differences depending on the profession and on the category. These results indicate that different professional backgrounds should be considered when selecting annotators in such scenarios.
Original languageEnglish
Title of host publicationCaring is Sharing – Exploiting the Value in Data for Health and Innovation
Subtitle of host publicationProceedings of the MIE 2023
EditorsMaria Hägglun, Madeleine Blusi, Stefano Bonacina, Lina Nilsson, Inge Cort Madsen, Sylvia Pelayo, Anne Moen, Arriel Benis, Lars Lindsköld, Parisis Gallos
PublisherIOS Press BV
ChapterSection 7. Natural Language Processing
Number of pages5
ISBN (Electronic)978-1-64368-389-8
ISBN (Print)978-1-64368-388-1
Publication statusPublished - 18 May 2023
EventMedical Informatics Europe 2023 (MIE 2023): Caring is Sharing - Exploiting Value in Data for Health and Innovation - Mässans gata 24, Gothenburg, Sweden
Duration: 22 May 202325 May 2023

Publication series

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


ConferenceMedical Informatics Europe 2023 (MIE 2023)
Abbreviated titleMIE 2023
Internet address

Research Field

  • Exploration of Digital Health


  • Clinical notes
  • Annotation
  • Text classification
  • Natural Language Processing


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