使用电子医疗记录中的离散形式数据来预测精神病学咨询的可能性
Mark A Oldham1, Beth Heaney1, Conrad Gleber2
1Department of Psychiatry, University of Rochester Medical Center, Rochester, NY.
Journal of the Academy of Consultation-Liaison Psychiatry
|October 20, 2023
概括
使用电子医疗记录数据的自动查有效地识别了有心理健康需求的住院患者. 这种方法提高了预测精神病咨询可能性的效率和可靠性.
科学领域:
- 临床信息学 临床信息学
- 精神病学流行病学 精神病学流行病学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 在急性情况下,手动查心理健康需求是有效的,但耗时.
- 自动选方法为提高效率和可靠性提供了潜力.
- 自动化心理健康查的预测准确性需要进一步评估.
研究的目的:
- 开发一种使用电子医疗记录 (EMR) 数据的自动查工具,以识别有精神病需要的住院患者.
- 评估这个自动化工具的预测准确度,以确定心理咨询的可能性.
主要方法:
- 一个自动选列表被整合到现有的手动选过程中,持续一年.
- 查项目来自EMR数据,包括护理查,订单和诊断/药物组.
- 开发了一个预测模型,并在整个医院中应用,以分类咨询可能性 (高,中,低).
主要成果:
- 自动选模型表现出强大的预测准确性,接收器操作特征曲线下的面积为84%.
- 关键预测因素包括"3个或更多的精神病诊断" (OR 15.7) 和"先前的自杀企图" (OR 4.7).
- 该模型在低概率类别中获得了高负预测值 (97.2%).
结论:
- 在EMR中的离散数据元素可以有效地预测精神病咨询的可能性.
- 自动查方法有望提高在医院环境中对心理健康需求的识别.
- 需要对自动查方法进行进一步的研究,以优化患者护理.
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