Oncospark

Designing an AI-powered denial management system to help surgical practices appeal Medicare claims and recover lost revenue.
Summary
When Medicare denies a claim, it's usually because the documentation doesn't clearly justify why the procedure should be covered. With only 1 in 10 denials ever appealed, surgical clinics lose thousands in recoverable revenue. My team helped reimagine the appeal process to change that.
My Contribution
As the sole product designer on this contract project, I worked alongside a business strategist and 2 engineers to design an AI-assisted Prior Authorization Dashboard, from surfacing denied claims to auto-generating appeal letters, validated directly with clinic staff.
Timeline
Aug to Dec 2025
Team
1 Product Designer
1 Business Strategist
2 Engineers
Tools
Figma Agent
Claude Code
Vercel
VSCode
Skills
User Research
Prototyping
Usability Testing
Full Stack
At a Glance

An AI-assisted prior authorization tool built to help surgical clinics recover revenue lost to denied claims.

Key Highlights

7/8 clinical professionals

Said they’d find the tool valuable at their clinic after testing the working end-to-end appeal prototype.

Working AI prototype

Built the end-to-end prior authorization workflow using Figma Make, Vercel, and Claude Code
Before: No centralized view of denied claims
Prior authorization requires clinical teams to prove that a treatment is medically necessary before insurers will cover it. When prior authorization requests are denied, clinical teams must determine why, gather supporting documentation, and appeal, often under tight deadlines.
After: Centralizing an AI-Enabled Prior Authorization Workflow
A centralized dashboard brings every case, denial reason, and deadline into one place, helping healthcare professionals quickly identify what needs attention and move directly from a denied claim into an AI-assisted appeal.

Overview

We built an AI-assisted prior authorization tool to help surgical clinics recover revenue lost to denied claims.

Key Takeaways

2nd place

2025 Fung Engineering Health Innovation Competition, judged by Included Health, and Moderna, etc

7/8 clinical professionals

Said they’d find the tool valuable at their clinic after testing the working end-to-end appeal prototype.

AI prototype

Built the end-to-end prior authorization workflow using Figma Make, Vercel, and Claude Code
Before: No centralized view of denied claims
Prior authorization requires clinical teams to prove that a treatment is medically necessary before insurers will cover it. When prior authorization requests are denied, clinical teams must determine why, gather supporting documentation, and appeal, often under tight deadlines.
After: Centralizing an AI-Enabled Prior Authorization Workflow
A centralized dashboard brings every case, denial reason, and deadline into one place, helping healthcare professionals quickly identify what needs attention and move directly from a denied claim into an AI-assisted appeal.

The Problem

Preventable denials leave surgical clinics with recoverable revenue at risk.

By the Numbers

4.1 million denials
Prior authorization requests denied by Medicare Advantage insurers in 2024.
13+ hours/week
Spent by physicians and staff completing prior authorization requirements.
Only 11.5% appealed
Yet 80.7% of appealed Medicare Advantage denials were overturned when appealed

User Insights

Existing tools leave smaller surgical clinics without one place to understand denials and submit appeals.

General billing tools treat prior auth as one more claim in a queue. ASCs lose revenue when denials are clinical, time-bound, and procedure-specific, so we positioned Oncospark as embedded in the surgical clinic workflow and ASC-specific, not another siloed billing add-on. That quadrant is where staff can triage by revenue at risk and draft appeals without leaving the case.

Designing the Solution

Three design principles move staff from denial to submitted appeal without removing human oversight.

Across the workflow, we grounded each design decision in three principles: prioritize what matters, automate repetitive work, and preserve human oversight where judgment matters.
Before: Ordered table
Every field is manual, from writing the appeal rationale to uploading required documents
No way to know if the appeal is complete or likely to succeed 
Staff has to log into payer portal to understand reason for denial
After: Prioritized Dashboard
Surfaces revenue at risk, denial counts, and expiring appeals as headline metrics
Countdown-based due dates make time-sensitive appeals impossible to miss
One-click filters like "Denied" and "Within 7 Days" replace manual scanning with triage
Before: Blank appeal form
No way to see which claims are financially at risk or time-sensitive at a glance
Staff had to scroll through every row to spot denied or urgent cases
No visibility into appeal deadlines or how much revenue was on the line
After: Guided submission flow
AI autogenerates the appeal letter with inline citations and retrieves available documents from the EHR
AI auto-generates the appeal letter with inline citations
Before: Static checklist
Staff had to write the appeal rationale and gather documents from scratch, with no structure
No signal on whether an appeal was strong enough to succeed before submitting it
Every supporting document had to be tracked down manually from the EHR
After: AI-drafted appeal letter
A predicted approval outcome gives staff confidence before submitting
Required documents are auto-retrieved from the EHR and pre-checked off the list
A guided 3-step flow (Review Documents → Generate Appeal → Submit) replaces a blank form

The final prototype guides staff from denied claim to submitted appeal in three steps.

Secondary market research showed tools like CoverMyMeds help large hospitals manage billing, but don't give smaller surgical clinics an integrated way to track denials, understand why claims are rejected, and file appeals in one place. No existing solution uses AI to interpret denial patterns or generate appeal responses.
The Updated Appeal Process
Prior authorization denials pile up when staff can’t see which cases are recoverable, what’s missing in the chart, or how to structure an appeal. This prototype walks the full loop: surface denied claims by urgency, pull the justification gaps, then draft a citation-backed appeal letter for a clinician to review and submit, keeping human oversight in the loop while cutting the busywork.
Prioritizing which case denials need attention first
Instead of scanning claims one by one, staff can see revenue at risk, approaching deadlines, and denial reasons in one place. Expanding a claim surfaces the context and required documents needed to decide what to appeal and begin the process directly from the dashboard.

Impact & Outcome

The tool transformed a manual, hours-long process into an AI-assisted workflow adopted by clinical operations leadership.

The tool reframed a manual, hours-long appeal process into an AI-assisted workflow that clinical operations leadership approved for further development, backed by a working end-to-end prototype, 2nd place at the 2025 Fung Engineering Health Innovation Competition, and 7 of 8 clinicians saying they’d find it valuable at their clinic if deployed.

Reflection

Denied claims are not just paperwork; they represent revenue that clinics depend on.

The hardest constraint was earning trust. Clinicians wouldn’t use an appeal they couldn’t verify, so every AI suggestion had to stay inspectable: sources inline, edits easy, submit still human. If I could redo this project again, I’d pressure-test the prioritization model with a full week of clinic backlog instead of a curated demo set. Winning 2nd place and hearing 7 of 8 clinicians say they’d use it was validation that the workflow fit, the next proof is whether it holds up under a live morning claim load.

Back

Overview

The Problem

User Insights

Designing the Solution

Impact & Outcome

Reflection