Clinical Practice (assessment, diagnosis, treatment, knowledge translation/EBP, implementation science, program development)
Technology (e.g. robotics, assistive technology, mHealth)
Managing care for people with TBI in the outpatient setting is typically reactive and based on subjective report of symptoms and adaptation, which is subject to errors of memory and misattribution. We will provide an overview of a new cloud-based tool that promotes proactive scheduled acquisition of TBI and related symptoms as well as clinical risk factors that can be used to detect decline in functioning or to ensure response to treatment. This tool provides for ongoing surveillance of an entire cohort of interest (e.g., those who are using an opioid or have a pre-injury history of psychiatric illness) or for a specific individual. This presentation will review the clinical advantages of this tool with individual and aggregate examples. Additionally, this project seeks to outline the significant trends and key leading and lagging symptom interactions that predict patient outcomes. The findings generated because of this data are pivotal in promoting positive outcomes within TBI rehabilitation.
Just as monitoring blood sugar is fundamentally important when treating Diabetes, real-time assessments and interventions are essential to the treatment of TBI symptoms. This presentation will review the advantages and challenges when introducing new approaches to both staff and patients. Training, motivating and encouraging the participation of Study Participants is necessary but must be carefully designed to create a closed loop clinical assessment process. The staff that support them must also be trained and supported with extreme care when introducing new approaches, especially when technology-based approaches are employed. This presentation will conclude with a potential view into the future of this approach.