利用电子健康记录进行认知功能特征描述。
Cognitive Function Characterization Using Electronic Health Records Notes.
机构信息
Department of Biomedical Informatics.
School of Nursing.
出版信息
AMIA Annu Symp Proc. 2022 Feb 21;2021:999-1008. eCollection 2021.
Abstract
Cognitive impairment is a defining feature of neurological disorders such as Alzheimer's disease (AD), one of the leading causes of disability and mortality in the elderly population. Assessing cognitive impairment is important for diagnostic, clinical management, and research purposes. The Folstein Mini-Mental State Examination (MMSE) is the most common screening measure of cognitive function, yet this score is not consistently available in the electronic health records. We conducted a pilot study to extract frequently used concepts characterizing cognitive function from the clinical notes of AD patients in an Aging and Dementia clinical practice. Then we developed a model to infer the severity of cognitive impairment and created a subspecialized taxonomy for concepts associated with MMSE scores. We evaluated the taxonomy and the severity prediction model and presented example use cases of this model.
摘要
认知障碍是神经紊乱的一个显著特征，如阿尔茨海默病（AD），这是老年人群中导致残疾和死亡的主要原因之一。评估认知障碍对于诊断、临床管理和研究目的都很重要。福氏简易精神状态检查（MMSE）是认知功能最常用的筛查测量方法，但该评分在电子健康记录中并不常见。我们进行了一项试点研究，从 AD 患者的临床记录中提取描述认知功能的常用概念。然后，我们开发了一个模型来推断认知障碍的严重程度，并为与 MMSE 评分相关的概念创建了一个专门的分类法。我们评估了分类法和严重程度预测模型，并展示了该模型的示例应用案例。
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