Abstract：
The complex nature of verbal patient-nurse communication holds valuable insights for nursing research, but traditional documentation methods often miss these crucial details. This study explores the emerging role of speech processing technology in nursing research, emphasizing patient-nurse verbal communication. We conducted case studies across various healthcare settings, revealing a substantial gap in electronic health records for capturing vital patient-nurse encounters. Our research demonstrates that speech processing technology can effectively bridge this gap, enhancing documentation accuracy and enriching data for quality care assessment and risk prediction. The technology\'s application in home healthcare, outpatient settings, and specialized areas like dementia care illustrates its versatility. It offers the potential for real-time decision support, improved communication training, and enhanced telehealth practices. This paper provides insights into the promises and challenges of integrating speech processing into nursing practice, paving the way for future patient care and healthcare data management advancements.
摘要：
病人-护士口头沟通的复杂性为护理研究提供了宝贵的见解，但是传统的文档方法经常错过这些关键的细节。本研究探讨了语音处理技术在护理研究中的新兴作用，强调病人与护士的口头交流。我们在各种医疗机构进行了案例研究，揭示了电子健康记录在捕捉重要的病人-护士遭遇方面的巨大差距。我们的研究表明，语音处理技术可以有效地弥合这一差距，提高文档准确性，丰富质量护理评估和风险预测数据。该技术在家庭医疗保健中的应用,门诊设置，像痴呆症护理这样的专业领域说明了它的多功能性。它提供了实时决策支持的潜力，改善沟通培训，和加强远程医疗实践。本文提供了将语音处理整合到护理实践中的承诺和挑战的见解，为未来患者护理和医疗保健数据管理的进步铺平了道路。
