Orchestrators / Payor / AI Chronic Care Management

Payor

AI Chronic Care Management

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Section 01

Problem

The biggest gap in chronic care is everything that happens between visits.

Most health plans can actively manage only a fraction of their members with chronic conditions. The rest receive intermittent outreach, leaving medication barriers, worsening symptoms, and changes across multiple conditions unnoticed until they become costly admissions.

AI Chronic Care makes consistent, longitudinal support possible across the entire eligible population — helping care teams identify emerging risks earlier, resolve barriers sooner, and focus their time where clinical judgment is needed most.

The result is better care for patients and lower costs for health plans: fewer preventable complications, emergency visits, and hospital admissions.

Care-management capacity no longer has to determine who gets managed.

02
Section 02

Use Cases

  • CKD
  • CHF
  • Diabetes
  • Hypertension
  • Asthma
  • Arthritis
  • General Polycondition Management
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Section 03

Features

Super Care Manager — monthly check-in calls for polycondition MA members to identify fall risk, decompensation symptoms & specific care needs early before complications develop at a cadence no human care team can staff.

Super Power: Multi-call memory turns a monthly check-in into a longitudinal clinical record. Because the agent remembers what this member said three months ago, it can tell cost-driven insulin skipping apart from an unreported side effect apart from a misunderstood dose — and care management headcount stops being the ceiling on who gets monitored at all (360% increase in chronic-care team capacity, Medical Mutual).

Features:

  • Chronic condition check-ins (diabetes, HF, COPD, hypertension, CKD, asthma).
  • Post acute care follow-up within 24–72 hours.
  • Quality campaigns (HbA1c control, dental & eye care, statin adherence).
  • Schmitt-Thompson escalation to RNs for acute symptoms.
  • Multi-call memory across the patient journey.
  • Labs & vitals interpretation (99.7% lab range check benchmark).
  • Mid-call bilingual switching and empathy.

Additional features:

  • Longitudinal Adherence / Continuity of Care supervisor model, with multi-call memory validated in a peer-reviewed study of 4,415 calls across 4,189 patients.
  • Acoustic Bio-Marker supervisor model — HealthCUES detects a cough inside a live conversation and classifies it (dry, wet, barking, whooping) in roughly a third of a second, catching a symptom the member never mentioned.
  • Vital Sign Clarification supervisor model.
  • MCI supervisor model for forgetful patients and Slurred Speech supervisor model for challenging speech.
  • Caregiver Speech supervisor model for family in the background and Noise Cancellation for a TV on.
  • Clinical Nutrition supervisor model.
  • Angel Engine / Infinite Patience.
  • Clinical Escalation Safety at 99.75% across 8 clinical categories with a live RN one step away, under clinically proven nursing guideline escalation protocols.
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Section 04

ROI

~$18K per avoided readmission (3pp readmission reduction, published & conservative); $65 PMPM non-readmission savings (HF); $2,500 per newly adherent member; $5,341 per newly adherent member (HbA1c control); Super Care Manager: $15.2K per avoided admission, ~1% of members avoid an admission via symptom & fall flags ($1.5M expected value on 10K members).
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Section 05

Demo Calls

AI Chronic Care.mp3
Medication Name & Adherence .mp3