An AI-assisted patient chart reader streamlining medical coders workflows.
A leading healthcare provider's medical coding team was caught between outdated, siloed tools and a fragmented document landscape.
Coders navigated multiple systems just to complete routine tasks — each step requiring manual handoffs, redundant validations, and time-consuming document retrieval from scattered locations.
The result: unnecessary cognitive load on skilled staff and a slow, error-prone charting process.
Consolidating disparate tools into a single web-based application reduced charting time and eliminated friction across the workflow.
Backend automation removed the manual burden of locating and distributing charts, giving coders more time for the high-value work only they can do.
Days → Hours reduction in average charting time
One platform → replacing multiple disconnected systems
Medical coders were navigating multiple outdated, siloed systems to complete routine tasks, creating manual bottlenecks and slowing the charting process.
Led end-to-end UX from stakeholder research and service blueprinting through iterative Figma design and developer sprint planning to consolidate the workflow into a single web-based application.
Consolidating the platform eliminated manual distribution effort and reduced charting time, freeing coders to focus on higher-value work.