Alberts Jay L, Modic Michael T, Udeh Belinda, Dey Tanujit, Cherian Kay, Lu Xiaoyang, Figler Richard, Russman Andrew, Linder Susan M
Department of Biomedical Engineering, Cleveland Clinic Foundation; Center for Neurological Restoration, Cleveland Clinic Foundation; Office of Clinical Transformation, Cleveland Clinic Foundation; Concussion Center, Cleveland Clinic Foundation;
Office of Clinical Transformation, Cleveland Clinic Foundation.
J Vis Exp. 2019 Jan 20(143). doi: 10.3791/58962.
The evidence-informed standardization of care along disease lines is recommended to improve outcomes and reduce healthcare costs. The aim of this project is to 1) describe the development and implementation of the Concussion Carepath, 2) demonstrate the process of integrating technology in the form of a mobile application to enable the carepath and guide clinical decision-making, and 3) present data on the utility of the C3 app in facilitating decision-making throughout the injury recovery process. A multi-disciplinary team of experts in concussion care was formed to develop an evidence-informed algorithm, outlining best practices for the clinical management of concussion along three phases of recovery - acute, subacute, and post-concussive. A custom mobile application, the Cleveland Clinic Concussion (C3) app was developed and validated to provide a platform for the systematic collection of objective, biomechanical outcomes and to provide guidance in clinical decision-making in the field and clinical environments. The Cleveland Clinic Concussion app included an electronic incident report, assessment modules to measure important aspects of cognitive and motor function, and a return to play module to systematically document the six phases of post-injury rehabilitation. The assessment modules served as qualifiers within the carepath algorithm, driving referral for specialty services as indicated. Overall, the carepath coupled with the C3 app functioned in unison to facilitate communication among the interdisciplinary team, prevent stagnant care, and drive patients to the right provider at the right time for efficient and effective clinical management.
建议根据疾病类型对护理进行循证标准化,以改善治疗效果并降低医疗成本。本项目的目的是:1)描述脑震荡护理路径的开发与实施;2)展示以移动应用程序形式整合技术以实现护理路径并指导临床决策的过程;3)呈现关于C3应用程序在整个损伤恢复过程中促进决策制定效用的数据。组建了一个脑震荡护理多学科专家团队,以制定循证算法,概述脑震荡临床管理在恢复的三个阶段——急性期、亚急性期和脑震荡后期——的最佳实践。开发并验证了一款定制移动应用程序——克利夫兰诊所脑震荡(C3)应用程序,以提供一个平台,用于系统收集客观的生物力学结果,并为现场和临床环境中的临床决策提供指导。克利夫兰诊所脑震荡应用程序包括一份电子事件报告、用于测量认知和运动功能重要方面的评估模块,以及一个用于系统记录损伤后康复六个阶段的重返比赛模块。评估模块在护理路径算法中作为限定条件,根据指示推动转介至专科服务。总体而言,护理路径与C3应用程序协同运作,以促进跨学科团队之间的沟通,防止护理停滞,并在正确的时间将患者转介给合适的提供者,以进行高效有效的临床管理。