A device company specializing in lung cancer sought to understand the market and establish clinical trial feasibility for their innovative device that offers a safer, less invasive biopsy option for lung nodules. Patients with small peripheral nodules are often not surgical candidates, and instead are monitored for tumor growth, requiring years of imaging, and potentially missing the signs of tumor growth until advanced disease is present. The new device offers a minimally invasive approach to remove these tumors, offering patients a new treatment alternative. To identify patient cohorts, clinical research sites, and optimize market strategies, the company needed to delve deep into a large set of real world clinical trial data. The challenge was not only to extract actionable insights from this complex dataset but also to transform this data into a format that could convincingly demonstrate the clinical trial feasibility and market potential to investors and stakeholders.

Our team developed an interactive dashboard that transformed an extensive large set of real world clinical trial data lung cancer screening trial dataset into a user-friendly, exploratory visualization tool. This dashboard allows users to dynamically filter and analyze data across various parameters, such as location, nodule size, demographics, and screening types, to identify patients with unmet needs and potential clinical trial protocol inclusion and exclusion criteria. The dashboard provided critical insights into the prevalence and characteristics of small peripheral lung nodules, highlighting areas with the highest market demand for the device and aiding in trial feasibility and site selection. This visual and interactive approach not only facilitates hypothesis exploration but also serves as a compelling tool to attract investor interest by clearly demonstrating the market opportunities for the device.