Patient-Centered Healthcare: A Framework for Analyzing Patient Feedback Through Sentiment Analysis and Topic Modeling

Luis Osório; Nuno Fachada

doi:10.1007/978-3-031-63851-0_10

Patient-Centered Healthcare: A Framework for Analyzing Patient Feedback Through Sentiment Analysis and Topic Modeling

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Patient feedback is a crucial component in identifying areas of improvement and enhancing service quality in healthcare. However, manual analysis of a large volume of reviews is challenging. This paper proposes a novel framework and software for sentiment analysis and topic modeling with the goal of automating this process, providing a more efficient method for data extraction and facilitating informed decision-making. The Google reviews dataset, a rich source of patient feedback, is used for this purpose. We present findings from related research to identify potential strategies for implementing this framework. The ultimate goal is to understand patient sentiments, identify common complaint topics, and highlight positive aspects of healthcare centers. This approach will provide valuable insights that are essential for the continuous improvement and success of healthcare centers.

Original language	English
Title of host publication	DoCEIS
Editors	Luis M. Camarinha-Matos, Filipa Ferrada
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	152-163
Number of pages	12
ISBN (Print)	9783031638503
DOIs	https://doi.org/10.1007/978-3-031-63851-0_10
Publication status	Published - 1 Jan 2024
Event	15th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2024 - Caparica, Portugal Duration: 3 Jul 2024 → 5 Jul 2024

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	716 IFIPAICT
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	15th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2024
Country/Territory	Portugal
City	Caparica
Period	3/07/24 → 5/07/24

Bibliographical note

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Funding

This work is supported by Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia under grants UIDB/04111/2020 (COPELABS), UIDB/00066/2020 (Centro de Tecnologias e Sistemas), and CEECINST/00002/2021/CP2788/CT0001 (CEEC INST 2ed).

Funders	Funder number
Fundação para a Ciência e a Tecnologia	UIDB/04111/2020, UIDB/00066/2020
Centro de Tecnologias e Sistemas	CEEC INST 2ed, CEECINST/00002/2021/CP2788/CT0001

Keywords

Google Reviews
Healthcare Evaluation
Patient Feedback
Sentiment Analysis
Topic Modeling

Access to Document

10.1007/978-3-031-63851-0_10

Cite this

Osório, L., & Fachada, N. (2024). Patient-Centered Healthcare: A Framework for Analyzing Patient Feedback Through Sentiment Analysis and Topic Modeling. In L. M. Camarinha-Matos, & F. Ferrada (Eds.), DoCEIS (pp. 152-163). (IFIP Advances in Information and Communication Technology; Vol. 716 IFIPAICT). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-63851-0_10

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Osório, L & Fachada, N 2024, Patient-Centered Healthcare: A Framework for Analyzing Patient Feedback Through Sentiment Analysis and Topic Modeling. in LM Camarinha-Matos & F Ferrada (eds), DoCEIS. IFIP Advances in Information and Communication Technology, vol. 716 IFIPAICT, Springer Science and Business Media Deutschland GmbH, pp. 152-163, 15th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2024, Caparica, Portugal, 3/07/24. https://doi.org/10.1007/978-3-031-63851-0_10

Patient-Centered Healthcare: A Framework for Analyzing Patient Feedback Through Sentiment Analysis and Topic Modeling. / Osório, Luis; Fachada, Nuno.
DoCEIS. ed. / Luis M. Camarinha-Matos; Filipa Ferrada. Springer Science and Business Media Deutschland GmbH, 2024. p. 152-163 (IFIP Advances in Information and Communication Technology; Vol. 716 IFIPAICT).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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Patient-Centered Healthcare: A Framework for Analyzing Patient Feedback Through Sentiment Analysis and Topic Modeling

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

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