UroDiary
A clinical data application with AI-assisted reports for patient monitoring and data collection.
UroDiary is a clinical data application designed around patient monitoring and structured data collection. It explores how AI-assisted reports can help turn longitudinal records into information that is easier to review.
The question behind the project
Clinical tools do more than display information. They influence what becomes visible, what receives attention, and how confidently a pattern is interpreted. That makes the design of the reporting layer as important as the underlying model.
What stayed with me
The project reinforced the importance of keeping generated summaries connected to their source data. Assistance should reduce the effort required to inspect a record without making uncertainty or missing context disappear.
It also made clear that usefulness in a sensitive setting depends on more than model performance. Traceability, careful language, and the ability to review the underlying observations are part of the product itself.