Classification of Clinical Notes from a Heart Failure Telehealth Network

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

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung


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.
TitelCaring is Sharing – Exploiting the Value in Data for Health and Innovation
UntertitelProceedings of the MIE 2023
Redakteure/-innenMaria Hägglun, Madeleine Blusi, Stefano Bonacina, Lina Nilsson, Inge Cort Madsen, Sylvia Pelayo, Anne Moen, Arriel Benis, Lars Lindsköld, Parisis Gallos
Herausgeber (Verlag)IOS Press BV
KapitelSection 7. Natural Language Processing
ISBN (elektronisch)978-1-64368-389-8
ISBN (Print)978-1-64368-388-1
PublikationsstatusVeröffentlicht - 18 Mai 2023
VeranstaltungMedical Informatics Europe 2023 (MIE 2023): Caring is Sharing - Exploiting Value in Data for Health and Innovation - Mässans gata 24, Gothenburg, Schweden
Dauer: 22 Mai 202325 Mai 2023


NameStudies in Health Technology and Informatics
Herausgeber (Verlag)IOS Press
ISSN (Print)0926-9630
ISSN (elektronisch)1879-8365


KonferenzMedical Informatics Europe 2023 (MIE 2023)
KurztitelMIE 2023

Research Field

  • Exploration of Digital Health


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