The Hyve has been very busy in the last year developing the RADAR-CNS platform with partners from King’s College London (phidatalab.org), Janssen Pharmaceuticals, Lygature, Vibrent Health, University of Freiburg, Intel and Lundbeck.
The RADAR-CNS project is a Joint Undertaking of the Innovative Medicines Initiative. It aims to transform patient care through remote assessment using wearable technologies by predicting relapse using wearable data.
The RADAR-CNS consortium is currently focusing on three disease conditions, including major depressive disorder, multiple sclerosis and epilepsy. The RADAR-CNS project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 115902. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.
The platform was well received at the RADAR-CNS annual meeting in Barcelona on June 28-29, 2017. At this meeting, collaborators from all backgrounds came together to show their progress and provide feedback. The interaction of clinicians, subject recruiters, administrators and platform developers was very productive.
It was especially enlightening to hear from the patient advisory board, who kindly offered their feedback regarding user experience and issues related to device selection. In a breakout session we demonstrated the following core functionalities of the RADAR-CNS platform.
Patient recruitment and project management
The patient enrolment process begins with Redcap, which is an open-source, secure web application for electronic data capture. The process is explained in the following video:
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Before data can be collected, projects must be set up, including adding subjects to the platform and assigning devices to them. We are thus developing a management portal, where administrative tasks can be done. The video below shows the management portal and it’s core functionality.
There are two RADAR-CNS smartphone apps. The active remote monitoring app allows easy registration using QR codes, gives feedback to subjects regarding their participation, collects data from patients via questionnaires, and can be configured according the the subject’s preferences. The frequency of questionnaire administration is configurable. The patient advisory board provided useful feedback about the active app which will be used to optimize it.
The platform also collects data from wearable devices, such as the wrist-worn Empatica E4, Fitbit Charge 2 and Biovotion. For this it uses the the passive remote monitoring app. The video below demonstrates the app in action.
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As studies proceed, it is crucial to have tools to monitor data collection and visualize subject-specific data. A dashboard for this purpose is currently under development. The mockups that were presented at the annual meeting show the information contained in the dashboards.
The dashboard provides an overview of a given study. It providessummary statistics and the composition of the study population and an overview of the infrastructure status, including warnings where necessary. A patient overview gives timely information about the status of data collection across subjects, and visualizes compliance.
The dashboard will provide the functionality to zoom into specific subjects with a summary of available data. The data can also be visualized at several resolutions, allowing study administrators to zoom in and examine data in a specific time period.
No platform is complete without a robust security implementation. The RADAR-CNS uses OAuth 2.0 token-based authentication and authorization. A unique token is generated for each application that accesses the platform.
We received some great feedback from the platform’s end-users and are looking forward to implementing their suggestions.
If you have any feedback on the RADAR-CNS platform, would like to contribute to the platform development, or would like to know more about this and other projects at the Hyve, please do not hesitate to contact us.
Contributions to the RADAR-CNS platform and suggestions for future collaborations are welcome!
Disclaimer: This communication reflects the views of the RADAR-CNS consortium and neither IMI nor the European Union and EFPIA are liable for any use that may be made of the information contained herein.