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arXiv cs.AI
6/10

Patient Journey Assistant

A clinical AI that follows a single patient across months of visits, labs, and imaging and can answer 'what did we decide about the chemo dose in March?' without losing the original context.

Target user

Oncology care coordinators and chronic-disease nurse practitioners managing long patient histories

Features
  • Maintains a timestamped, source-linked timeline of every encounter, lab, and imaging read for each patient
  • Pre-visit briefing that surfaces the most relevant prior decisions and unanswered questions
  • Flags contradictions (e.g., a med change that was never documented) and asks the clinician to confirm
  • Patient-friendly printable summary letter at the end of each visit
Why now

The ARC paper targets the exact failure — losing details over long horizons — that makes clinicians distrust AI on long patient journeys.

Signals · overall 6/10
Demand
6/10

Confirmed by Navina's published research showing chronic-disease docs improve 18%+ with longitudinal context, plus an ASCO 2024 abstract on AI-assisted oncology clinical summaries, indicating real but not exceptional demand.New research finds ambient-only clinical documentation misses critical patient contextAI-assisted clinical summary and treatment planning for cancer care: A ...

Whitespace
4/10

Crowded incumbents: Navina explicitly combines ambient scribe with longitudinal history for chronic disease, Abridge dominates ambient documentation, and ONCONav/CONNECT already serve oncology nurse navigators — leaving narrow whitespace.AI Scribe Output Improves in Quality and Completeness: Research 8ONCONav Navigation Software | Oncology Data ManagementGenerative AI for Clinical Conversations | Abridge

Monetization
6/10

Willingness to pay exists via enterprise SaaS to health systems and CMS Principal Illness Navigation (PIN) reimbursement for nurse navigators, but oncology navigation software is a competitive, price-sensitive category with long sales cycles.CONNECT: Patient Navigation SoftwareAI scribe output quality leaps with additional patient context

Longevity
8/10

Longitudinal patient context is a permanent clinical need reinforced by CMS PIN reimbursement codes and the structural shift to value-based care; the problem won't be solved away.CONNECT: Patient Navigation SoftwareLarge language models forecast patient health trajectories enabling ...

Feasibility
4/10

Building requires deep Epic/Cerner EHR integration, HIPAA + clinical-grade validation, FDA SaMD considerations, and a 12–18 month hospital procurement cycle — far from trivial for an AI-agent approach.Oncology EHR comparison tool: Features, pricing and more

Addressable Recall Compaction for Long Context-Window Control in AI AgentsarXiv cs.AI · 2026-07-29 (today)