The RADAR-AD technical and clinical teams have co-developed dashboards to support the work of clinicians when collecting data on participants’ behavior within the RADAR-AD study.
One of the major advantages of a mHealth or Remote Monitoring Study is the availability of continuous feeds of data, in real or near-real time. In research studies, one of the many uses of this type of data is to better understand the completeness of this and the quality of the data being collected. Oftentimes, it can prove difficult to track if a person wears their device, has some technical issue within the clinical study or if they filled in their questionnaire at a specific time. Therefore, the goal of the development of these dashboards is to assist clinical teams and researchers. For instance, within the RADAR-CNS project, which is RADAR-AD’s predecessor, data completeness was checked manually in the storage server and individually per participant. This required technical effort can make it hard to get a full overview of the data at any given point in time.
The first version of these dashboards was released in the first week of August this year. Further RADAR-AD features are planned to be added soon to the initial cohort dashboards, such as the function to filter by study sites.
This article was originally posted on: https://www.radar-ad.org/newsroom/development-dashboards-improve-data-quality-and-completeness-clinical-teams-use-radar-ad