Medical Platform

Problem

Doctors working with complex patient cases need to see the full picture: vitals, lab results, treatment history, and trends over time. The existing workflow meant toggling between multiple systems and manually cross-referencing data, which slowed down clinical decision-making and increased the risk of missing something important.

The goal was a single dashboard that aggregated patient health data and surfaced treatment recommendations, so physicians could spend less time hunting for information and more time with patients.

Approach

I worked on this at EY Design Studio as part of a cross-functional team: four developers, a QA engineer, a designer, a UX researcher, and a product manager. My focus was on the data visualization layer. I evaluated charting libraries, ran performance tests against large clinical datasets, and built the interactive charts that became the core of the product.

Performance mattered here. Doctors do not wait for slow dashboards. I spent significant time profiling render cycles and optimizing how we loaded and displayed large datasets to keep the interface responsive.

Solution

A clinical dashboard built in React and Redux Toolkit that gives doctors a unified view of patient health data. Interactive line and bar charts visualize vitals and lab trends over time, with customized legends, color coding, and tick marks designed for clinical readability. The interface surfaces treatment recommendations based on the aggregated data, helping physicians make faster, more informed decisions.

My Role

Frontend developer focused on data visualization and performance. I owned the charting components end to end: library evaluation, implementation, customization for clinical use cases, and performance optimization for large datasets. I also contributed to broader frontend architecture decisions and code reviews across the team.