Kim Hyeoneui, Choi Jeeyae, Secalag Lelanie, Dibsie Laura, Boxwala Aziz, Ohno-Machado Lucila
Division of Biomedical Informatics, University of California, San Diego, San Diego, CA;
AMIA Annu Symp Proc. 2010 Nov 13;2010:382-6.
As a way to promote consistency and completeness of pressure ulcer risk assessment, as well as to establish a framework for data and knowledge sharing in this domain, we constructed an ontology that represents how the characteristics of the high risk patients defined by the Braden scale are operationalized at two different settings. We observed great similarity between the two study hospitals. Forty scenarios that portrayed patients at each site were added to the ontology and algorithmically assessed for pressure ulcer risk using the ontology reasoner FACT++. When validated by manual assessment by the nurses from each site, high consistency in the assessed risk level was observed with the average consistency score of 0.82 (SD= 0.06) out of 1.0. The results suggest that explicitly defining the site specific methods for assessing pressure ulcer risk that comply with the standard methods defined in the Braden scale can improve assessment consistency.
作为促进压疮风险评估的一致性和完整性以及建立该领域数据和知识共享框架的一种方式，我们构建了一个本体，该本体描述了由Braden量表定义的高风险患者的特征在两种不同环境中的操作方式。我们观察到两家研究医院之间有很大的相似性。将描绘每个站点患者的40个场景添加到本体中，并使用本体推理器FACT++对压疮风险进行算法评估。当由每个站点的护士进行人工评估验证时，观察到评估风险水平具有高度一致性，平均一致性得分为0.82（标准差=0.06）（满分1.0）。结果表明，明确界定符合Braden量表定义的标准方法的特定站点压疮风险评估方法可以提高评估的一致性。
