National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA.
J Am Med Inform Assoc. 2014 Feb;21(e1):e2-5. doi: 10.1136/amiajnl-2013-001896. Epub 2013 Aug 6.
In April 2012, the National Institutes of Health organized a two-day workshop entitled 'Natural Language Processing: State of the Art, Future Directions and Applications for Enhancing Clinical Decision-Making' (NLP-CDS). This report is a summary of the discussions during the second day of the workshop. Collectively, the workshop presenters and participants emphasized the need for unstructured clinical notes to be included in the decision making workflow and the need for individualized longitudinal data tracking. The workshop also discussed the need to: (1) combine evidence-based literature and patient records with machine-learning and prediction models; (2) provide trusted and reproducible clinical advice; (3) prioritize evidence and test results; and (4) engage healthcare professionals, caregivers, and patients. The overall consensus of the NLP-CDS workshop was that there are promising opportunities for NLP and CDS to deliver cognitive support for healthcare professionals, caregivers, and patients.
2012 年 4 月，美国国立卫生研究院组织了为期两天的研讨会，题为“自然语言处理：增强临床决策的现状、未来方向和应用”（NLP-CDS）。本报告是研讨会第二天讨论的总结。与会者和与会者强调需要将非结构化的临床记录纳入决策工作流程，并需要进行个体化的纵向数据跟踪。研讨会还讨论了需要：（1）将基于证据的文献和患者记录与机器学习和预测模型相结合；（2）提供可信且可重复的临床建议；（3）优先考虑证据和测试结果；（4）让医疗保健专业人员、护理人员和患者参与进来。NLP-CDS 研讨会的总体共识是，自然语言处理和临床决策支持有很大的机会为医疗保健专业人员、护理人员和患者提供认知支持。
