Developing a Framework for Online Review-Based Health Care Service Quality Assessment: Text-Mining Study

This study explores how online reviews can be used to evaluate health care services, offering significant implications for health care management. Theoretically, we extend existing service quality frameworks by integrating text-mining analysis of online reviews, thereby enhancing the understanding of service quality assessment in the digital health context. Practically, the framework can allow health care platforms to identify and reveal doctors' service quality to reduce patients' information asymmetry and strengthen patient-provider relationships, ultimately contributing to a more effective and patient-centered health care system.

Authors

Institutions

Publication Details

Journal
Journal of Medical Internet Research
Published
2025-05-16
DOI
https://doi.org/10.2196/66141
Citations
2
Primary Topic
Social Media in Health Education
Type
article
Field-Weighted Citation Impact
4.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing a Framework for Online Review-Based Health Care Service Quality Assessment: Text-Mining Study

Yezheng Liu, Xin Li, Xue Zhang, Jianshan Sun et al.
2 citations
Journal of Medical Internet Research
Social Media in Health Education
4.33
article

Developing a Framework for Online Review-Based Health Care Service Quality Assessment: Text-Mining Study

Yezheng Liu, Xin Li, Xue Zhang, Jianshan Sun, Chenwei Li
article en
2 citations

Abstract

This study explores how online reviews can be used to evaluate health care services, offering significant implications for health care management. Theoretically, we extend existing service quality frameworks by integrating text-mining analysis of online reviews, thereby enhancing the understanding of service quality assessment in the digital health context. Practically, the framework can allow health care platforms to identify and reveal doctors' service quality to reduce patients' information asymmetry and strengthen patient-provider relationships, ultimately contributing to a more effective and patient-centered health care system.

Journal of Medical Internet ResearchVol. 27
Fuyang Normal University (CN), Hefei University of Technology (CN), City University of Hong Kong (HK), Xi’an Jiaotong-Liverpool University (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Social Media in Health Education
4.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.