TansitionBridge AI

AI-powered transition navigator ensuring young patients with chronic conditions don't fall through the cracks when moving from pediatric to adult care. 22 tools, FHIR-native, Got Transition compliant.

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Inspiration

81% of young patients with chronic conditions don't receive transition services when moving from pediatric to adult healthcare (AHRQ). Only 17% receive any guidance from their providers. The result? Missed appointments, disease progression, emergency room visits, and preventable complications.

The AAP's Got Transition program provides excellent guidelines, but they're just PDFs and checklists. No AI automation exists. We searched the Prompt Opinion marketplace and the broader MCP ecosystem - zero solutions for pediatric-to-adult care transitions.

TransitionBridge AI fills that gap.

What it does

TransitionBridge AI is an MCP server with 22 AI-powered tools that automates the entire transition care workflow:

Assessment & Triage

  • Transition readiness assessment using validated TRAQ methodology
  • AI-powered risk stratification predicting transition failure likelihood
  • Population-level triage identifying which patients need immediate attention

Care Gap Analysis

  • Identifies missing immunizations, documentation, and specialist referrals
  • Detects barriers (insurance, transportation, knowledge gaps)
  • Recommends specific interventions for each gap

Provider Matching

  • Maps pediatric conditions to adult specialties
  • Searches adult providers by specialty and location
  • Verifies insurance coverage

Documentation & Handoff

  • Generates professional referral letters
  • Creates portable medical passports
  • Produces comprehensive transition summaries
  • Schedules warm handoff meetings

Population Health

  • Triages entire patient panels by urgency
  • Tracks program metrics and KPIs
  • Generates Got Transition Six Core Elements compliance reports

How we built it

  • MCP Server: Built with TypeScript/Express, deployed on Render
  • FHIR R4: SHARP-on-MCP compliant with full FHIR context support
  • Synthetic Data: 10 diverse patients with conditions including diabetes, cystic fibrosis, sickle cell disease, epilepsy, Crohn's disease, muscular dystrophy, and more
  • Framework Alignment: Every tool maps to the AAP/Got Transition Six Core Elements

The server reads FHIR context headers (X-FHIR-Server-URL, X-FHIR-Access-Token, X-Patient-ID) and can connect to any FHIR R4 server, with fallback to synthetic data for demos.

Challenges we ran into

  • FHIR Context Integration: Getting the SHARP-on-MCP spec right required multiple iterations to properly declare capabilities and handle FHIR headers
  • Clinical Accuracy: Ensuring readiness assessments and risk predictions align with validated clinical tools (TRAQ) and evidence-based guidelines
  • Diverse Conditions: Each chronic condition has unique transition considerations - we had to research sickle cell, CF, CHD, epilepsy, IBD, and more

Accomplishments that we're proud of

  • 22 AI-powered tools - nearly 2x the largest competitor in the marketplace
  • 100% Got Transition compliance - fully implements all Six Core Elements
  • 10 diverse patient scenarios - representing real-world transition challenges
  • Risk stratification that works - correctly identifies aged-out patients with low readiness as critical priority

What we learned

  • The transition care gap is a massive, underserved problem affecting 20% of the US population (ages 12-26)
  • AI can automate tasks that are impossible with rule-based systems: personalized risk prediction, barrier identification, intervention recommendations
  • FHIR + MCP is a powerful combination for healthcare AI

What's next for TransitionBridge AI

  • Interactive TRAQ Assessment: Conversational questionnaire that adapts based on responses
  • Multi-language Support: Patient education in Spanish, Mandarin, and other languages
  • EHR Integration: Direct integration with Epic, Cerner via SMART on FHIR
  • Outcome Tracking: Follow patients post-transition to measure success rates
  • A2A Orchestration: Multi-agent coordination between assessment, education, and handoff agents

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