A global pharma giant wanted to optimize, manage, and review sensitive Pharmacokinetics (PK) data efficiently, as manual checks across clinical trial sites were slow, often missing critical abnormalities. The current data checks were not standardized and reviewing large datasets manually meant inconsistencies in how data was interpreted and anomalies flagged. Moreover, without clear visualization tools, it was difficult for teams to quickly spot trends, patterns, or outliers, resulting in slower, less informed decision-making. Delays or inaccurate detection of anomalies could bring significant regulatory risks affecting compliance in a highly regulated environment like clinical research.

Adding to the complexity was the lack of centralized access control and audit mechanisms. There was no easy way to track user logs, raising concerns around data governance and accountability. Additionally, the inconsistent and often unsecured handling of sensitive clinical data increased the risk of breaches, undermining trust and regulatory readiness.

To face these challenges, the client wanted a custom application that could centralize and automate abnormality detection without compromising data security. One which allows users to scan sensitive files, apply threshold logic, and quickly identify files with potential issues, while ensuring that only specific, non-sensitive data points are visualized.