NYU Langone Health

After running user interviews with cardiologists and primary care providers, we prototyped and ideated with live interactive dashboard.

Context

ASCVD is the leading cause of death in the United States, yet more than half of individuals at elevated risk remain untreated. This gap persists not because the relevant data are absent, but because clinically meaningful risk signals are fragmented across the EHR, rarely synthesized during time-limited encounters, and infrequently linked to actionable next steps.

Problem Statement

How can we consolidate EPIC's data of a patient's history and current vitals into a comprehensive and actionable dashboard to prescribe statins.

Providers struggle to gather and synthesize cardiovascular risk data from fragmented EMR systems — leading to time-consuming workflows and gaps in preventive care.

Second Goal: How can we help providers become more familiar with additional risk-factors in cardiovascular health.
 

Pain points:

1. Basic data buried under clicks: LDL, calcium scores, and imaging results each reqquire multiple navigation steps to locate

2. Risk enhancers hidden in scattered patient hisstory: family history, inflammatory markers, and prior findings sit eep in medical history and not surfaced by the EMR

3. External resutl hard to navigate : Imaging and labs performed outside the system are difficult to locate and fold into the risk picture.

User research was the first step to restructuring the portal. Conducting a multiple-phased test, we landed on a new IA that improved findability significantly.