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Push Notification Integration for Enhanced Adherence to At-Home Rehabilitation Therapy in Stroke and Traumatic Brain Injury Patients
Adherence to rehabilitation therapy is crucial for the recovery of hand functionality in stroke and traumatic brain injury (TBI) patients. However, sustaining patient motivation to train at home remains a challenge. This project aims to explore the impact of push notifications on adherence to physical therapy among stroke and TBI patients. By investigating the optimal frequency and content of notifications, the goal is to develop a notification/reminder system that fosters continuous engagement with the rehabilitation plan, ultimately promoting increased therapy and better functional outcomes for patients.
Stroke and traumatic brain injury (TBI) are debilitating conditions that often result in long-term physical and cognitive impairments. While rehabilitation therapy in the clinic plays a vital role in promoting recovery, maintaining patient adherence to therapy protocols, especially outside clinical environments, poses significant challenges. Leveraging mobile health technologies is an opportunity to enhance patient engagement and adherence to rehabilitation activities, for example, through smart push notifications triggered by the amount of therapy patients do with robotic devices.
In this project, we aim to investigate the impact of push notifications on adherence to physical therapy among stroke and TBI patients. Collaborating with interdisciplinary teams, including clinicians, software developers, and researchers, the student will explore the effectiveness of push notifications in promoting sustained engagement with the at-home rehabilitation plan. The project will involve developing a smart push notifications system for our RehabCoach mobile application, collecting and analyzing data on the influence of push notifications on adherence to physical therapy in an unsupervised setting, and comparing it with real-time data of patients' interactions with ReHandyBot, an upper-limb rehabilitation device.
Stroke and traumatic brain injury (TBI) are debilitating conditions that often result in long-term physical and cognitive impairments. While rehabilitation therapy in the clinic plays a vital role in promoting recovery, maintaining patient adherence to therapy protocols, especially outside clinical environments, poses significant challenges. Leveraging mobile health technologies is an opportunity to enhance patient engagement and adherence to rehabilitation activities, for example, through smart push notifications triggered by the amount of therapy patients do with robotic devices.
In this project, we aim to investigate the impact of push notifications on adherence to physical therapy among stroke and TBI patients. Collaborating with interdisciplinary teams, including clinicians, software developers, and researchers, the student will explore the effectiveness of push notifications in promoting sustained engagement with the at-home rehabilitation plan. The project will involve developing a smart push notifications system for our RehabCoach mobile application, collecting and analyzing data on the influence of push notifications on adherence to physical therapy in an unsupervised setting, and comparing it with real-time data of patients' interactions with ReHandyBot, an upper-limb rehabilitation device.
The student will conduct a comprehensive literature review to understand existing research on the efficacy of push notifications in healthcare contexts and their potential application in stroke and TBI unsupervised rehabilitation. Using this knowledge, they will design and implement a push notification system tailored to the needs of stroke and TBI patients in the RehabCoach app. The system will allow for personalized notification schedules and content customization based on patient preferences and therapy goals. By exploring the role of push notifications in promoting adherence to rehabilitation therapy, this project aims to contribute to the development of innovative solutions for improving patient outcomes in stroke and traumatic brain injury rehabilitation.
The student will conduct a comprehensive literature review to understand existing research on the efficacy of push notifications in healthcare contexts and their potential application in stroke and TBI unsupervised rehabilitation. Using this knowledge, they will design and implement a push notification system tailored to the needs of stroke and TBI patients in the RehabCoach app. The system will allow for personalized notification schedules and content customization based on patient preferences and therapy goals. By exploring the role of push notifications in promoting adherence to rehabilitation therapy, this project aims to contribute to the development of innovative solutions for improving patient outcomes in stroke and traumatic brain injury rehabilitation.
1. Conduct a literature review on push notification effectiveness in healthcare and rehabilitation.
2. Collaborate with clinicians and researchers to understand patient needs and therapy objectives.
3. Design and develop a push notification system for the RehabCoach app.
4. Implement data collection mechanisms to track patient interaction and adherence rates.
5. Analyze collected data to assess the impact of push notifications on rehabilitation therapy adherence.
6. Iterate the notification system based on feedback from patients and clinicians.
7. Document findings and contribute to research publications in relevant academic journals or conferences.
1. Conduct a literature review on push notification effectiveness in healthcare and rehabilitation. 2. Collaborate with clinicians and researchers to understand patient needs and therapy objectives. 3. Design and develop a push notification system for the RehabCoach app. 4. Implement data collection mechanisms to track patient interaction and adherence rates. 5. Analyze collected data to assess the impact of push notifications on rehabilitation therapy adherence. 6. Iterate the notification system based on feedback from patients and clinicians. 7. Document findings and contribute to research publications in relevant academic journals or conferences.
We are seeking a highly motivated master’s student or graduate with a background in software development, computer science, or a related field. The ideal candidate should have a keen interest in mobile health technologies and interdisciplinary research. Strong programming skills and the ability to work collaboratively in a team setting are essential. Additionally, candidates with an understanding of healthcare systems and patient-centered design principles will be preferred.
We are seeking a highly motivated master’s student or graduate with a background in software development, computer science, or a related field. The ideal candidate should have a keen interest in mobile health technologies and interdisciplinary research. Strong programming skills and the ability to work collaboratively in a team setting are essential. Additionally, candidates with an understanding of healthcare systems and patient-centered design principles will be preferred.