摘要
目的 探究AI满意度分析系统在消化内科护理服务持续改进中的应用效果。方法 回顾性选择本院消化内科2024年1月-2025年12月间收治的消化系统疾病患者64例作为研究对象。以入院时间分组，分对照组（2024年1月-2024年12月间入院，32例，予以常规护理管理）、观察组（2025年1月-2025年12月间入院，32例，于常规护理管理基础上引入AI满意度分析系统开展护理服务质量监测、患者反馈智能分析及闭环整改）。比较两组护理不良事件发生率、护理工作效率以及护理质量得分，并以自制量表统计患者总体满意度。结果 观察组护理不良事件发生率低于对照组（P＜0.05）。工作效率中，观察组护理文书书写时长、患者反馈处理时长、整改周期均短于对照组（P＜0.05）。护理质量中，观察组护理服务态度、专科操作、健康宣教、症状护理、人文环境得分均高于对照组（P＜0.05）。观察组总体满意度高于对照组（P＜0.05）。结论 消化内科护理服务持续改进中，AI满意度分析系统应用效果显著，可精准、高效挖掘护理服务短板，优化护理工作流程，减少不良事件发生，持续提升护理质量与患者护理体验，值得推广。
关键词： 消化内科；AI满意度分析系统；护理质量；满意度
Abstract
Objective To explore the application effect of AI satisfaction analysis system in the continuous improvement of nursing services in the gastroenterology department. Methods Retrospectively select 64 patients with digestive system diseases admitted to the gastroenterology department of our hospital from January 2024 to December 2025 as the research subjects. Grouped by admission time, the control group (admitted from January 2024 to December 2024, 32 cases, received routine nursing management) and the observation group (admitted from January 2025 to December 2025, 32 cases, introduced the AI satisfaction analysis system to conduct nursing service quality monitoring, intelligent analysis of patient feedback, and closed-loop rectification). Compared the incidence of nursing adverse events, nursing work efficiency, and nursing quality scores between the two groups, and statistically analyzed the overall satisfaction of patients using a self-made scale. Results The incidence of nursing adverse events in the observation group was lower than that in the control group (P < 0.05). In terms of work efficiency, the observation group had shorter times for nursing document writing, handling of patient feedback, and rectification cycle than the control group (P < 0.05). In terms of nursing quality, the observation group had higher scores in nursing service attitude, specialized operation, health education, symptom care, and humanistic environment than the control group (P < 0.05). The overall satisfaction of the observation group was higher than that of the control group (P < 0.05). Conclusion In the continuous improvement of nursing services in the gastroenterology department, the application effect of the AI satisfaction analysis system is significant. It can accurately and efficiently identify nursing service shortcomings, optimize the nursing workflow, reduce adverse events, continuously improve nursing quality and patient nursing experience, and is worthy of promotion.
Key words： Gastroenterology department; AI satisfaction analysis system; Nursing quality; Satisfaction
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