SaffronHealth.ai Clinical Intelligence Engine
SaffronHealth helps healthcare organizations transform fragmented clinical and claims data into clear insights, coordinated workflows, and earlier interventions.
I helped shape the platform from an early-stage concept into a cohesive product ecosystem spanning healthcare analytics, care coordination, AI-assisted insights, brand identity, and a customer-facing website.
AI in My Design Process
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I used ChatGPT and Codex to explore navigation approaches, quickly mock up ideas, and organize handwritten notes into clearer working summaries. I also used them to flag potential accessibility issues for further review, refine team communication, and develop storyboard ideas for a product demo.
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These tools supported exploration and communication throughout the design process. AI suggestions served as inputs to evaluate, rather than proof that a design met accessibility standards.
My Role
The Team
My Key Contributions
Product Designer
UI/UX Design
Product Strategy
Brand Design
Website Design
1 Founder & Product Lead
4 Healthcare subject-matter experts
3 Software engineers
1 Product designer (me)
Tools Used
Duration
Adobe Photoshop
Adobe Illustrator
Figma
11 months
start: OCTOBER 2025
end: AUGUST 2026
Product strategy Stakeholder research Competitive analysis
User Personas
Information Architecture Dashboard UX
Data Visualization Prototyping
Brand Identity
Website Design Implementation support
Process
Define
Learn
Ideate
Create
Verify
Understand Project
Specify Problems
Identify Goals
Background Research
Client Interviews
Competitor Research
Lo-fi Sketches
Design ideation
User Testing
User Interviews
Pain-point analysis
Hi-fi Prototyping
User Testing
Hi-fi Testing
Finalization
The Challenge
Turning fragmented healthcare data into confident decisions
Healthcare organizations work with enormous amounts of clinical, claims, cost, and engagement data. However, that information is often spread across disconnected systems and separated from the people responsible for acting on it.
SaffronHealth wanted to create an intelligence layer that could identify emerging risk, explain the factors driving cost and outcomes, and help care teams intervene earlier.
The design challenge was to make the same underlying information useful to people with very different responsibilities—from executives evaluating population performance to care coordinators supporting individual members.
FINAL DESIGNS
RESEARCH & PRODUCT DIRECTION
Designing around different healthcare decisions
I used stakeholder conversations, competitive research, and persona development to understand what different users actually needed from the platform.
One dashboard couldn’t serve everyone. Leadership needed quick cost and risk signals, population health teams needed deeper cohort analysis, and care coordinators needed clear member-level next steps.
These priorities shaped a connected experience across executive reporting, population health, member engagement, Patient 360, rising-risk analysis, and SaffronIQ.
DESIGNING THE PLATFORM
Clinical Intelligence Command Center
Leadership needed a quick way to understand cost, utilization, and emerging risk without digging through disconnected reports.
I designed the Command Center as a high-level starting point, using a clear KPI hierarchy to show what was changing and where attention was needed. Users can compare current and forecasted costs, follow the overall trajectory, and move directly into specific risk cohorts for deeper investigation.
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what is happening
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where is risk increasing?
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which group needs a closer look?
Designed to answer:
Executive Summary: “A high-level view of current costs, forecasts, and population risk.”
Actuary Focus: “Deeper cost analysis helps users understand the conditions and cohorts driving change.”
Risk Cohorts: “Performance data leads directly into the populations requiring closer attention.”