Emma Neuroscience Group, Department of Pediatrics, Amsterdam Reproduction & Development, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, Netherlands.
Daan Theeuwes Center for Intensive Neurorehabilitation, Woerden, Netherlands.
J Med Syst. 2022 Apr 4;46(5):24. doi: 10.1007/s10916-022-01809-z.
Outcome of acquired brain injury (ABI) and the potential for neurorehabilitation are subject to distinct heterogeneity between patients. Limited knowledge of the complex constellation of determinants at play interferes with the possibility to deploy precision medicine in neurorehabilitation. Measurement Feedback Systems (MFS) structure clinical data collection and deliver the measurement results as feedback to clinicians, thereby facilitating progress monitoring, promoting balanced patient-centered discussion and shared decision making. Accumulation of clinical data in the MFS also enables data-driven precision rehabilitation medicine. This article describes the development and implementation of a MFS for neurorehabilitation after ABI. The MFS consists of specialized measurement tracks which are developed together with representatives of each discipline in the multidisciplinary team. The MFS is built into a digital platform that automatically distributes measurements among clinicians, at predetermined time points during the inpatient treatment, outpatient treatment and follow-up. The results of all measurements are visualized in individual patient dashboards that are accessible for all clinicians involved in treatment. Since step-wise implementation, 124 patients have been registered on the MFS platform so far, providing an average of more than 200 new measurements per week. Currently, more than 15,000 clinical measurements are captured in the MFS. The current overall completion rate of measurements is 86,4%. This study shows that structured clinical assessment and feedback is feasible in the context of neurorehabilitation after severe ABI. The future directions are discussed for MFS data in our Health Intelligence Program, which aims at periodic care evaluation and the transition of neurorehabilitation care towards precision medicine.
获得性脑损伤(ABI)的结果和神经康复的潜力在患者之间存在明显的异质性。对起作用的复杂决定因素的了解有限,这妨碍了在神经康复中应用精准医学的可能性。测量反馈系统(MFS)组织临床数据收集,并将测量结果作为反馈提供给临床医生,从而促进进展监测、促进平衡的以患者为中心的讨论和共同决策。MFS 中临床数据的积累也使数据驱动的精准康复医学成为可能。本文描述了用于 ABI 后神经康复的 MFS 的开发和实施。MFS 由专门的测量轨道组成,这些轨道是与多学科团队中的每个学科的代表一起开发的。MFS 构建在一个数字平台中,该平台会在住院治疗、门诊治疗和随访期间的预定时间点自动将测量分配给临床医生。所有测量的结果都以个体患者仪表板的形式可视化,所有参与治疗的临床医生都可以访问这些仪表板。自逐步实施以来,迄今为止已有 124 名患者在 MFS 平台上注册,每周提供平均超过 200 个新的测量值。目前,MFS 中捕获了超过 15000 个临床测量值。目前测量的总体完成率为 86.4%。本研究表明,在严重 ABI 后神经康复的背景下,结构化临床评估和反馈是可行的。还讨论了 MFS 数据在我们的健康智能计划中的未来方向,该计划旨在定期进行护理评估,并将神经康复护理过渡到精准医学。