Feature Development: Platform Data Visualization & Report Tooling

I led the development of the reporting and data visualization system within a configurable clinical research platform that supports remote patient data collection, as well as clinician and study staff researcher health data visualization.

Project reports can be accessed on the patient, site and study level and can efficiently handle high volumes of data, enabling study staff to monitor study progress remotely with ease and accuracy. The platform’s data visualization features enable deeper views into a patient’s raw responses including visualization of study values generated through proprietary algorithmic outputs from continuous measures, such as the volume of steps taken by a participant during a remotely implemented “Timed Walk Test”.

The reports and data visualizations generated by the platform play a pivotal role in understanding patient compliance, supporting standardized reporting to study sponsors, and evaluating study data quality. They are instrumental in making informed decisions regarding potential study amendments, refining participant instructions, and addressing challenges arising from complex study procedures or patient needs.

Given the lack of standard metrics across studies, sponsors, and regulatory bodies, I conducted extensive research, including generating client feedback, investigating the scientific literature, and reviewing regulatory agency documentation such as FDA guidelines, to implement standardized reporting measures within the platform that can be translated to all projects implemented within the platform. This ensures consistency and compliance with regulatory requirements while meeting the specific needs of each project.

Furthermore, the visualization of data is meticulously managed based on platform permissions. Only users with specific permissions can access data labeled as PII (patient identifying information), ensuring patient safety, security, and privacy standards are upheld.

The system also supports easy data export, facilitating seamless translation into presentations or integration with data visualization software for further in-depth analysis, empowering researchers with actionable insights and enhancing the overall efficiency of clinical research endeavors.