Generating Verbal Descriptions from Medical Sensor Data: A Corpus Study on User Preferences

Abstract

Understanding and interpreting medical sensor data is an essential part of pre-hospital care in medical emergencies, but requires training and previous knowledge. In this paper, we describe on-going work towards a medical decision support tool, which automatically generates textual summaries of underlying sensor data. In particular, we present results from a survey investigating the preferences of individual users and user groups when summarizing medical sensor data. We find that the users’ preferences are not necessarily dependent on the user’s training level, profession or gender. We therefore use cluster analysis to identify user groups with consistent preferences with regard to 4 different first aid scenarios and 3 types of physiological parameters. In future work, we will utilize these findings to automatically adapt the generated output to personal preferences.

Contributors

Dimitra Gkatzia

Verena Rieser

Alexander McSporran

Alistair McGowan

Alasdair Mort

Michaela Dewar

Conference

Publication date: September 2014

Publication date (Print): September 2014

Pages: 1-8

Affiliations

Heriot-Watt University

Edinburgh

EH14 4AS

BASP UK Ltd.

Grencoe

PH49 4HR

University of Glasgow

Glasgow

G12 8QQ

University of Aberdeen

Inverness

IV2 3JH

Article

DOI: 10.14236/ewic/HIS2014.2

Copyright statement: © Dimitra Gkatzia et al. Published by BCS Learning and Development Ltd. BCS Health Informatics Scotland (HIS), Glasgow, UK

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: BCS Health Informatics Scotland (HIS)

Conference acronym: HIS

Conference number:

Conference location: Glasgow, UK

Conference date: 2 - 3 September 2014

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: BCS Health Informatics Scotland (HIS)

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HIS2014.2

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing