Department of Medicine and.
Academic Informatics Office, National University Hospital, National University Health System, and.
Clin Infect Dis. 2017 May 15;64(suppl_2):S141-S144. doi: 10.1093/cid/cix020.
An electronic anonymized patient portal analysis using radiographic reports and admission and discharge diagnoses had sensitivity, specificity, positive predictive value, and negative predictive value of 84.7%, 78.2%, 75%, and 87%, respectively, for community-acquired pneumonia validated against a blinded expert medical review. This approach can help to track antimicrobial use and resistance.
一项使用放射报告和入院及出院诊断的电子匿名患者门户分析，在经过盲法专家医学审查验证后，对社区获得性肺炎的敏感性、特异性、阳性预测值和阴性预测值分别为 84.7%、78.2%、75%和 87%。这种方法有助于跟踪抗菌药物的使用和耐药情况。
