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The Role of Text Analytics in Healthcare: A Review of Recent Developments and Applications

Topics: Dissemination and adoption strategies for digital innovations; Transformation of traditional care processes by the use of information and communication technologies, e.g. successful intra- and interorganizational implementation of health information systems, electronic health records, or telemedicine/eHealth applications

Authors: Mahmoud Elbattah 1 ; Émilien Arnaud 2 ; Maxime Gignon 2 and Gilles Dequen 1

Affiliations: 1 Laboratoire MIS, Université de Picardie Jules Verne, Amiens, France ; 2 Emergency Department, Amiens-Picardy University, Amiens France

Keyword(s): Text Analytics, Natural Language Processing, Unstructured Data, Healthcare Analytics.

Abstract: The implementation of Data Analytics has achieved a significant momentum across a very wide range of domains. Part of that progress is directly linked to the implementation of Text Analytics solutions. Organisations increasingly seek to harness the power of Text Analytics to automate the process of gleaning insights from unstructured textual data. In this respect, this study aims to provide a meeting point for discussing the state-of-the-art applications of Text Analytics in the healthcare domain in particular. It is aimed to explore how healthcare providers could make use of Text Analytics for different purposes and contexts. To this end, the study reviews key studies published over the past 6 years in two major digital libraries including IEEE Xplore, and ScienceDirect. In general, the study provides a selective review that spans a broad spectrum of applications and use cases in healthcare. Further aspects are also discussed, which could help reinforce the utilisation of Text Analy tics in the healthcare arena. (More)

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Paper citation in several formats:
Elbattah, M.; Arnaud, É.; Gignon, M. and Dequen, G. (2021). The Role of Text Analytics in Healthcare: A Review of Recent Developments and Applications. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Scale-IT-up; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 825-832. DOI: 10.5220/0010414508250832

@conference{scale-it-up21,
author={Mahmoud Elbattah. and Émilien Arnaud. and Maxime Gignon. and Gilles Dequen.},
title={The Role of Text Analytics in Healthcare: A Review of Recent Developments and Applications},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Scale-IT-up},
year={2021},
pages={825-832},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010414508250832},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Scale-IT-up
TI - The Role of Text Analytics in Healthcare: A Review of Recent Developments and Applications
SN - 978-989-758-490-9
IS - 2184-4305
AU - Elbattah, M.
AU - Arnaud, É.
AU - Gignon, M.
AU - Dequen, G.
PY - 2021
SP - 825
EP - 832
DO - 10.5220/0010414508250832
PB - SciTePress

- Science and Technology Publications, Lda.
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