AI patient-management dashboard for high-risk incidental liver lesions
Spotlight
Led design for an AI-driven clinical dashboard that closed dangerous follow-up gaps in liver-lesion care — turning a $3M annual safety risk into measurable lives saved.
- Role
- Lead Product Designer
- Contribution
- Strategy · UX · UI · Research · Prototyping
- Platform
- Web App · Healthcare (HIPAA)
- Year
- 2023 – 2024
$3M
Annual ROI
68%
Follow-up gap addressed
“We honestly haven't come across too many of these cases, but really feel like we have saved a life with this catch.”
The problem
At Intermountain Health, ~68% of patients with incidental liver lesions never received appropriate follow-up within the first month due to over-diagnosis challenges. An internal pilot dashboard proved the concept but suffered from poor prioritization, confusing interfaces, and no communication tracking.
Approach
I led all design initiatives and ran extensive in-person and virtual interviews with clinicians, then partnered with a PM, designer, and engineers to rebuild the dashboard. We introduced a risk-based visual hierarchy mirroring the EHR color language, one-click filtering to surface pending actions, and a streamlined communication-tracking system.
Outcome
Spotlight launched across Intermountain hospitals, saving ~$3M annually and catching life-threatening cases that would otherwise have been lost to follow-up. The work also seeded the foundation of the organization's shared design language.