Orchestrators / Provider / AI Leakage Reduction

Provider

AI Leakage Reduction

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Section 01

Problem

Orchestrated timing is part of the treatment.

A patient told two years ago that the knee will eventually need replacing goes quiet. The knee keeps deteriorating. Between visits nobody is monitoring, because follow-up runs on the calendar rather than the condition — and knee arthritis, A-fib, or a failing kidney move at three different speeds.

The patient who drifts arrives later and with more advanced disease. Kidney disease reaching emergency dialysis before anyone reassessed it. An untreated arrhythmia that goes another year without a stroke-risk conversation. And when the knee finally becomes surgical, the patient searches on their own, so the system that did the diagnostic work watches $15–30K of facility revenue happen across town.

Staying with thousands of patients for years, on cadences that differ by condition, and booking the in-network specialist at the right moment, has never been staffable.

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Section 02

Use Cases

  • Joint Replacement (Knee, Hip, etc) Vigilance
  • Back Pain Vigilance
  • Urology (OAB) Vigilance
  • A-Fib Vigilance
  • Obesity Vigilance
  • Cataract Vigilance
  • CKD Vigilance
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Section 03

Features

Features:

  • Condition-vigilance check-ins at protocol cadence with symptom inquiry and escalation.
  • Longitudinal Adherence / Continuity of Care supervisor model with peer-reviewed Multi-call Memory, so each vigilance call builds on the last instead of restarting.
  • Specialty Appointment Scheduling supervisor model with provider lookup, slot retrieval, and confirm-before-booking, so the referral is completed rather than recommended.
  • Provider Match supervisor model for in-network continuity.
  • Validated patient-reported outcome instruments — pain and function scores — administered in natural conversation to time a surgical referral.
  • Motivational Interviewing supervisor model.
  • Reading Between the Lines / Implicit Understanding supervisor model for patients who minimize symptoms.
  • Health Literacy supervisor model.
  • Angel Engine / Infinite Patience and Dynamic Personality Engine for relationships measured in years.
  • Interlinked RAG so insurance and cost questions are resolved in-call rather than deferred.
  • Clinical Escalation Safety 99.75% across 8 clinical categories with a live RN one step away.

Potential features:

  • Referral-status tracking.
  • Barrier counseling.
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Section 04

ROI

SAMPLE USE CASE: Joint Replacement Vigilance (referral capture) → ROI: $906 per referral kept in-network; $15-30K+ facility revenue per retained procedure
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Section 05

Demo Calls

AI Leakage Reduction Clip 1
AI Leakage Reduction Clip 2