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arXiv cs.AI
5/10

PatientMemory Auditor

A patient-facing audit tool for hospital AI intake and triage bots that surfaces what the bot has remembered about you — allergies, meds, history — and lets you correct errors before they affect your next visit.

Target user

Patients at hospitals and clinics using AI intake or triage assistants

Features
  • Plain-English summary of what the clinical AI has 'remembered'
  • Confirm or correct allergies, medications, conditions with one tap
  • Pre-visit alert to clinician if uncorrected errors remain
  • HIPAA-compliant audit log the patient controls
Why now

Hospital AI intake bots are deploying quickly and a wrong 'remembered' allergy or medication propagates into every future interaction, creating real clinical risk with no consumer safety net.

Signals · overall 5/10
Demand
4/10

Hospital AI intake bot market is sizable (~$1.2-2B, growing 23-24% CAGR) and Mount Sinai/BMJ show real AI medical misinformation risk, but searches found no direct patient complaints about AI intake bots remembering wrong allergies/meds — the pain is latent, not yet an articulated consumer demand.Healthcare Chatbot Market Size & Share Report, 2025-2030AI Chatbots Can Run With Medical Misinformation, Study Finds

Whitespace
8/10

No direct competitor surfaced for a patient-facing audit tool of what an AI intake/triage bot has 'remembered' about a patient. Patient portals (Epic MyChart etc.) show raw EHR data, not AI-specific inferences or memory; the AI memory audit niche is genuinely novel.An objective comparison of the best EHR patient portalsPatient Portal Software in 2024: Review & Comparison

Monetization
3/10

Patients rarely pay out-of-pocket for healthcare data tools and the 21st Century Cures Act framework treats record access as a free right; consumer WTP is weak. A B2B pivot (hospitals paying for liability reduction) is plausible but changes the go-to-market substantially.Healthcare Chatbot Market Size & Share Report, 2025-2030

Longevity
7/10

Healthcare chatbot market projected to grow from $1.2B (2024) to $4.4B (2030) at 24% CAGR, and regulatory trends favor patient data access — but incumbent EHR vendors (Epic, etc.) are likely to absorb patient-side audit features, threatening standalone durability.Healthcare Chatbot Market Size & Share Report, 2025-2030

Feasibility
2/10

Bot-specific 'memory' lives inside proprietary hospital EHR stacks (Epic, Cerner) and vendor-specific intake AI products with no standardized patient-facing API; FHIR exposes records but not AI inference/memory layers. Without per-hospital or per-bot-vendor partnerships, the core data is unreachable.

ConsistencyGate: Preventing Memory Contamination in LLM Agents via Self-Consistency Admission ControlarXiv cs.AI · 2026-07-28 (today)