UC Berkeley-UCSF Joint Medical Program, University of California, Berkeley, California, USA.
School of Medicine, University of California, San Francisco, California, USA.
Cancer Med. 2022 Sep;11(17):3296-3303. doi: 10.1002/cam4.4690. Epub 2022 Mar 29.
The rapid adoption of electronic health records (EHRs) has created extensive repositories of digitized data that can be used to inform improvements in care delivery, processes, and patient outcomes. While the clinical data captured in EHRs are widely used for such efforts, EHRs also capture audit log data that reflect how users interact with the EHR to deliver care. Automatically collected audit log data provide a unique opportunity for new insights into EHR user behavior and decision-making processes. Here, we provide an overview of audit log data and examples that could be used to improve oncology care and outcomes in four domains: diagnostic reasoning and consumption, care team collaboration and communication, patient outcomes and experience, and provider burnout/fatigue. This data source could identify gaps in performance and care, physician uptake of EHR features that enhance decision-making, and integration of data trends for oncology. Ensuring researchers and oncologists are familiar with the data's potential and developing the data engineering capacity to utilize this rich data source, will expand the breadth of research to improve cancer care.
电子健康记录(EHR)的快速采用创建了广泛的数字化数据存储库,可用于为改善护理提供信息交付、流程和患者结果。虽然 EHR 中捕获的临床数据广泛用于此类工作,但 EHR 还捕获反映用户如何与 EHR 交互以提供护理的审核日志数据。自动收集的审核日志数据为深入了解 EHR 用户行为和决策过程提供了独特的机会。在这里,我们提供了审核日志数据概述和示例,这些示例可用于改善四个领域的肿瘤学护理和结果:诊断推理和消耗、护理团队协作和沟通、患者结果和体验以及提供者倦怠/疲劳。该数据源可以确定性能和护理差距、医生对增强决策制定的 EHR 功能的采用情况,以及肿瘤学数据趋势的整合。确保研究人员和肿瘤学家熟悉数据的潜力,并开发利用这一丰富数据源的数据工程能力,将扩大研究范围,以改善癌症护理。