Research on the Influencing Factors of Outpatient Patient Satisfaction Based on Artificial Intelligence
Abstract：Objective This survey aims to deeply understand the current situation of outpatient patient satisfaction and its related influencing factors in a well-known tertiary hospital, in order to provide a scientific basis for improving patient satisfaction. Methods An artificial intelligence (AI) survey method was used to eliminate human interference factors, and a survey was conducted on 12,912 outpatients who visited Su Bei People's Hospital between January and June 2023, analyzing their satisfaction status. Then, a binary unconditional logistic regression model was used to identify the various factors affecting satisfaction in depth, and the importance matrix of satisfaction was used to determine the areas that need priority improvement. Results The outpatient satisfaction score was (4.66±0.41), indicating a high level of satisfaction. The main factors affecting satisfaction include the service attitude of medical staff, outpatient medical technology, the professional ethics of outpatient medical staff, and the reason for the patient's visit. Conclusion The service attitude of medical staff and outpatient medical technology are the main drivers of satisfaction. By analyzing and optimizing these key factors, patient satisfaction can be significantly improved.
Keywords：Artificial IntelligenceSurveyOutpatient SatisfactionLogistic Regression ModelImportance Matrix
Publication Date：2025-02-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 13-16 )