Lu Lizhen, Zhu Yueli, Yang Jiekai, Yang Yuting, Ye Junwei, Ai Shanshan, Zhou Qi
Integrated Traditional and Western Medicine Hospital of Linping District, Hangzhou, 311100, China.
Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Sci Rep. 2025 Jan 7;15(1):1223. doi: 10.1038/s41598-024-84512-y.
To explore the attitudes of healthcare professionals and the public on applying ChatGPT in clinical practice. The successful application of ChatGPT in clinical practice depends on technical performance and critically on the attitudes and perceptions of non-healthcare and healthcare. This study has a qualitative design based on artificial intelligence. This study was divided into five steps: data collection, data cleaning, validation of relevance, sentiment analysis, and content analysis using the K-means algorithm. This study comprised 3130 comments amounting to 1,593,650 words. The dictionary method showed positive and negative emotions such as anger, disgust, fear, sadness, surprise, good, and happy emotions. Healthcare professionals prioritized ChatGPT's efficiency but raised ethical and accountability concerns, while the public valued its accessibility and emotional support but expressed worries about privacy and misinformation. Bridging these perspectives by improving reliability, safeguarding privacy, and clearly defining ChatGPT's role is essential for its practical and ethical integration into clinical practice.
探讨医疗保健专业人员和公众对在临床实践中应用ChatGPT的态度。ChatGPT在临床实践中的成功应用取决于技术性能，关键还在于非医疗保健人员和医疗保健人员的态度与认知。本研究采用基于人工智能的定性设计。本研究分为五个步骤：数据收集、数据清理、相关性验证、情感分析以及使用K均值算法进行内容分析。本研究包含3130条评论，共计1593650个单词。词典法显示出愤怒、厌恶、恐惧、悲伤、惊讶等负面情绪以及好、开心等正面情绪。医疗保健专业人员优先考虑ChatGPT的效率，但提出了伦理和问责方面的担忧，而公众重视其可及性和情感支持，但对隐私和错误信息表示担忧。通过提高可靠性、保护隐私以及明确界定ChatGPT的角色来弥合这些观点，对于将其实际且符合伦理地融入临床实践至关重要。
