Király Ferenc, Kósa István, Vassányi István
Medical Informatics R&D Center, University of Pannonia, Veszprém, Hungary.
Stud Health Technol Inform. 2014;197:97-101.
The paper describes the investigation of the Hungarian public administrative health databases with the aim to identify hidden correspondences in the patients' evaluation pathways for patients with suspected coronary artery disease (CAD). In our current work we investigated the effect of the waiting times of invasive and non-invasive investigations in the evaluation pathways of patients with suspected CAD. We found a considerable correlation between waiting times and the further course of the patients.
本文描述了对匈牙利公共行政卫生数据库的调查，目的是识别疑似冠状动脉疾病（CAD）患者评估路径中的潜在关联。在我们当前的工作中，我们研究了侵入性和非侵入性检查的等待时间对疑似CAD患者评估路径的影响。我们发现等待时间与患者的后续病程之间存在显著相关性。
