护理图表的语音识别技术:文学综述
Sally Newton-Mason1,2, Clement Chui1, Saima Hirani2
1Vancouver Coastal Health Authority, Vancouver, BC, Canada.
Studies in health technology and informatics
|July 25, 2024
概括
语音识别技术 (SRT) 可以在电子健康记录 (EHR) 中提高护理文档效率高达15%. 然而,整合挑战需要进一步的研究,以实现最佳的临床实施.
科学领域:
- 医疗信息学 医疗信息学
- 医疗技术 医疗技术 医学技术
- 护理信息学 护理信息学
背景情况:
- 护理文档对于患者护理和记录保存至关重要.
- 电子健康记录 (EHR) 是现代医疗保健中的标准.
- 有效的文档对于护士的工作流程和患者安全至关重要.
研究的目的:
- 审查语音识别技术 (SRT) 对EHR系统内的护理文档的影响.
- 评估SRT对文档时间,准确性和用户满意度的影响.
- 确定在护理中实施SRT的挑战和未来方向.
主要方法:
- 来自PubMed,CINAHL和谷歌学者研究的文献综述.
- 纳入标准适用于156项已识别的研究,其中7项被选择进行分析.
- 分析的重点是SRT对文档指标的报告影响.
主要成果:
- 语音识别技术 (SRT) 可以减少护理文档的时间高达15%,特别是当与人工智能相结合时.
- 研究表明,可以提高文档效率.
- 用户满意度和准确性是SRT集成影响的关键因素.
结论:
- SRT显示了提高在EHRs护理文档效率的承诺.
- 需要解决临床环境和EHR工作流程中的实施挑战.
- 未来的研究应该专注于对话式SRT和护理评估的无EHR集成.
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