用AI分析患者术后投诉，发现情绪波动与医疗监管变化相关
Analysis of Voluntarily Reported Data Post Mesh Implantation for Detecting Public Emotion and Identifying Concern Reports
- 用NLP分析MAUDE数据库中2000-2021年患者报告的情绪
- 2011-2012和2017-2018年出现担忧类报告激增和情绪强度上升
- 为医生优化术前沟通和术后关怀提供数据支持
疝气手术中广泛使用的补片植入物存在术后并发症风险。本研究分析了2000至2021年来自制造商和用户设备体验（MAUDE）数据库的自愿报告，利用自然语言处理技术探究患者在补片植入后的心理情绪状态。采用加拿大国家研究委员会（NRC）情感词典和TextBlob进行情感分析，将患者叙述分为八类情绪（愤怒、恐惧、期待、信任、惊讶、悲伤、喜悦、厌恶），并评估情感极性。研究旨在识别随时间变化的情感模式及提示紧急关切的“担忧报告”（Concern Reports），以理解患者体验与医疗器械监管和技术进步之间的关联。结果显示，2011-2012年和2017-2018年期间，担忧报告数量增加且情绪强度显著升高。通过分析担忧报告的时间演变与整体情感趋势，本研究为临床工作者提供了宝贵见解，有助于提升术前咨询质量、改善术后护理，并帮助患者更好准备接受补片手术。研究强调了情绪因素在医疗实践中的重要性，以及情感分析在优化患者照护方面的潜力。
原文摘要 · Abstract (English)
Mesh implants are widely utilized in hernia repair surgeries, but postoperative complications present a significant concern. This study analyzes patient reports from the Manufacturer and User Facility Device Experience (MAUDE) database spanning 2000 to 2021 to investigate the emotional aspects of patients following mesh implantation using Natural Language Processing (NLP). Employing the National Research Council Canada (NRC) Emotion Lexicon and TextBlob for sentiment analysis, the research categorizes patient narratives into eight emotions (anger, fear, anticipation, trust, surprise, sadness, joy, and disgust) and assesses sentiment polarity. The goal is to discern patterns in patient sentiment over time and to identify reports signaling urgent concerns, referred to as "Concern Reports," thereby understanding shifts in patient experiences in relation to changes in medical device regulation and technological advancements in healthcare. The study detected an increase in Concern Reports and higher emotional intensity during the periods of 2011-2012 and 2017-2018. Through temporal analysis of Concern Reports and overall sentiment, this research provides valuable insights for healthcare practitioners, enhancing their understanding of patient experiences post-surgery, which is critical for improving preoperative counselling, postoperative care, and preparing patients for mesh implant surgeries. The study underscores the importance of emotional considerations in medical practices and the potential for sentiment analysis to inform and enhance patient care.
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