ORIGINAL RESEARCH article
Front. Health Serv.
Sec. Patient Centered Health Systems
Volume 5 - 2025 | doi: 10.3389/frhs.2025.1610004
Impact of Hospital Complaint Handling on Promoting High-quality Development of Hospitals via An Emotional Language Analysis Model: A Case Study of a Tertiary Hospital Service Center in Quanzhou City, Fujian Province
Provisionally accepted
- 1Outpatient Department of Quanzhou First Hospital, Quanzhou, China
- 2Office of the President of the First Hospital of Quanzhou City, Quanzhou, China
- 3Medical Department of Quanzhou First Hospital, Quanzhou, China
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Background: In the healthcare service industry, patient complaints serve not only as a critical metric for assessing hospital service quality but also as a fundamental driver of high-quality hospital development. Through a systematic analysis of patients' perceptions, opinions, and emotional responses to hospital management within the complaint-handling process. Methods: Therefore, this paper aims to develop a hospital complaint-handling analysis model to enhance public satisfaction with greater precision. First, complaint data from hospitals spanning January to December 2022-2024 was preprocessed using data cleaning, mechanical compression, word segmentation, and stop-word filtering techniques. Second, the DISC behavioral language model was employed to analyze key indicators, including hospital compensation frequency, total compensation amounts, patient appeal rates, complainants' satisfaction with the resolution process, and their overall satisfaction with complaint outcomes. Finally, a sentiment analysis model and an improved KANN-DBSCAN clustering model were applied to complaint data to precisely identify sentiment-related keywords and assess the intensity of negative emotions, providing hospitals with targeted improvement recommendations.Results: This study applied the DISC behavioral model to medical complaints. DISC-based text analysis enabled tailored responses. Among 334 intervention and 341 control cases, satisfaction 93.39%, was higher in the intervention group 83.24%, indicating improved complaint resolution through behavior-informed communication strategies.By analyzing patients' psychological needs and expectations, this study aims to minimize financial compensation and reduce patient appeals while enhancing overall complaint resolution satisfaction, which provides medical institutions with a more comprehensive, effective, and personalized complaint-handling strategy while simultaneously improving patients' healthcare experiences.
Keywords: Patient complaint analysis, Hospital service quality, data cleaning, DISC behavioral language model, KANN-DBSCAN clustering model
Received: 19 Apr 2025; Accepted: 05 Aug 2025.
Copyright: © 2025 Zheng, Zhang, Lian, He, Chen and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yi Zhang, Office of the President of the First Hospital of Quanzhou City, Quanzhou, China
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