Abstract：
The utilization of vast amounts of EHR data is crucial to the studies in medical informatics. Physicians are medical participants who directly record clinical data into EHR with their personal expertise, making their roles essential in follow-up data utilization, which current studies have yet to recognize. This paper proposes a physician-centered perspective for EHR data utilization and emphasizes the feasibility and potentiality of digging into physicians\' latent decision patterns in EHR. To support our proposal, we design a physician-centered CDS approach named PhyC and test it on a real-world EHR dataset. Experiments show that PhyC performs significantly better in the auxiliary diagnosis of multiple diseases than globally learned models. Discussions on experimental results suggest that physician-centered data utilization can help to derive more objective CDS models, while more means for utilization need further exploration.
摘要：
大量EHR数据的利用对医学信息学的研究至关重要。医师是指直接将临床数据记录到EHR的医疗参与者，使他们的角色在后续数据利用中至关重要，目前的研究尚未认识到这一点。本文提出了以医生为中心的EHR数据利用观点，并强调了在EHR中挖掘医生潜在决策模式的可行性和潜力。为了支持我们的建议,我们设计了一种以医生为中心的CDS方法，名为PhyC，并在现实世界的EHR数据集上进行测试。实验表明，PhyC在多种疾病的辅助诊断中的表现明显优于全局学习模型。对实验结果的讨论表明，以医生为中心的数据利用可以帮助得出更客观的CDS模型，而更多的利用手段需要进一步探索。
