Research on the Experience of Inpatients Based on Sentiment Analysis and IPA Model
- VernacularTitle:基于情感分析和IPA模型的住院患者体验研究
- Author:
Ming CHEN
1
;
Xiaofeng SHAO
1
Author Information
1. 北京大学人民医院 北京 100044
- Publication Type:Journal Article
- Keywords:
patient experience sentiment analysis;
latent dirichlet allocationtopic model;
importance-perfor5 mance analysis;
open comments
- From:
Chinese Hospital Management
2025;45(11):83-85,93
- CountryChina
- Language:Chinese
-
Abstract:
Objective To identify the thematic dimensions and analyze the strengths and weaknesses of inpatient experiences based on reviews of inpatient experience comments,and to propose improvement suggestions.Methods Open comments provided by inpatients at a tertiary hospital in Beijing between January 2023 and June 2024 were analyzed using sentiment analysis,LDA topic model and I PA analysis.Results The average sentiment score for all comments was 3.50,indicating overall positivity.LDA identified 1 1 themes.The dominant factors influencing inpatient experience were nurse service,doctor service,and diet,while sanitation and discharge settlement were identified as weak factors.Privacy protection,facilities,and bed resources were noted as areas for improvement,with accompaniment,access control,care worker services highlighted as maintenance factors.Conclusions The overall inpatient experience is positive.However,there is a need to maintain core competitive advantages of medical services while further enhancing tangible experiences related to sanitation and facilities.Additionally,efforts should be made to strengthen the accessible experience of discharge settlement and bed resources.
