Simon Kelly Claire, Yucus Chad, Castle James, Chesis Richard, Lai Rebekah, Hillman Laura, Tideman Samuel, Garduno Lisette, Meyers Steven, Frigerio Roberta, Maraganore Demetrius M
Department of Neurology, NorthShore University HealthSystem, Evanston, IL, United States.
Health Information Technology, NorthShore University HealthSystem, Evanston, IL, United States.
Front Neurol. 2019 Mar 7;10:161. doi: 10.3389/fneur.2019.00161. eCollection 2019.
The electronic medical record (EMR) presents an opportunity to standardize patient data collection based on quality guidelines and conduct practice-based research. We describe the development of a customized EMR "toolkit" that standardizes patient data collection with hundreds of discrete fields that supports Best Practices for treating patients with memory disorders. The toolkit also supports practice-based research. We describe the design and successful implementation of a customized EMR toolkit to support Best Practices in the care of patients with memory disorders. We discuss applications, including quality improvement projects and current research initiatives, using the toolkit. This toolkit is being shared with other departments of Neurology as part of the Neurology Practice-Based Research Network. Data collection is ongoing, including longitudinal follow-up. This toolkit will generate data that will allow for descriptive and hypothesis driven research as well-quality improvement among patients seen in a memory clinic.
电子病历（EMR）为基于质量指南规范患者数据收集以及开展基于实践的研究提供了契机。我们描述了一个定制的EMR“工具包”的开发过程，该工具包通过数百个离散字段规范患者数据收集，以支持治疗记忆障碍患者的最佳实践。该工具包还支持基于实践的研究。我们描述了一个定制的EMR工具包的设计与成功实施，以支持记忆障碍患者护理的最佳实践。我们讨论了该工具包的应用，包括质量改进项目和当前的研究计划。作为神经病学基于实践的研究网络的一部分，这个工具包正在与其他神经病学部门共享。数据收集正在进行中，包括纵向随访。这个工具包将生成数据，用于描述性研究和假设驱动的研究，以及记忆门诊患者的质量改进。
