BT-Nurse: computer generation of natural language shift summaries from complex heterogeneous medical data.
BT-Nurse: computer generation of natural language shift summaries from complex heterogeneous medical data.
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BT-Nurse：计算机根据复杂的异构医疗数据生成自然语言转换摘要。
DOI：
10.1136/amiajnl-2011-000193
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Hunter J
中科院分区：
文献类型：
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作者：
Hunter J
BT-Nurse系统使用数据到文本技术来自动生成新生儿重症监护病房(NICU)的自然语言护理班次摘要。摘要仅基于电子病历系统中保存的数据，不需要额外的数据输入。BT-Nurse在爱丁堡NICU的皇家医院接受了为期两个月的测试。护士们被要求对计算机生成的摘要的可理解性、准确性和帮助程度进行评级；他们还被要求对摘要发表自由文本的评论。护士们发现大多数总结都是易懂的、准确的、有帮助的(p<；所有措施都是0.001)。然而，护士们也指出了许多不足之处，特别是关于他们希望在计算机生成的摘要中看到的额外内容。总而言之，自然语言NICU轮班摘要可以从电子患者记录自动生成，但我们的概念验证软件在部署之前需要进行大量额外的开发工作。
The BT-Nurse system uses data-to-text technology to automatically generate a natural language nursing shift summary in a neonatal intensive care unit (NICU). The summary is solely based on data held in an electronic patient record system, no additional data-entry is required. BT-Nurse was tested for two months in the Royal Infirmary of Edinburgh NICU. Nurses were asked to rate the understandability, accuracy, and helpfulness of the computer-generated summaries; they were also asked for free-text comments about the summaries. The nurses found the majority of the summaries to be understandable, accurate, and helpful (p<0.001 for all measures). However, nurses also pointed out many deficiencies, especially with regard to extra content they wanted to see in the computer-generated summaries. In conclusion, natural language NICU shift summaries can be automatically generated from an electronic patient record, but our proof-of-concept software needs considerable additional development work before it can be deployed.