NightingaleMD
Population Health AI

Autonomous Outreach at Population Scale

Florence AI Navigator handles routine member outreach autonomously — and escalates to your care team via a structured HANDOFF the moment a clinical need arises. Every action logged. Every escalation documented.

47

Automated Workflows

2

Operating Modes

5

HANDOFF Sections

100%

Audit Trail

Two Modes. One Platform.

Automate the routine. Reserve your care team for the complex.

Human-in-the-Loop

Your Care Managers, Augmented

Florence transcribes in real time, surfaces clinical flags mid-conversation, and auto-generates documentation — so your care managers can focus on the patient, not the paperwork.

EngageConveneCheck-In

Autonomous Outreach

Routine Outreach at Scale

  • Appointment reminders
  • Medication adherence
  • Preventive care scheduling
  • Post-discharge (TCM)

When clinical complexity is detected, Florence triggers a structured HANDOFF to your care team automatically.

Campaign-Level Outreach Management

Launch, monitor, and measure population-wide outreach from a single command center.

12Active Campaigns
8,247Members Targeted
73%Completion
4.2%Escalation Rate
Active

AWV Scheduling

2,341 members

Progress82%
Active

Statin Adherence

1,856 members

Progress68%
Scheduled

Post-Discharge TCM

Transitional Care Management

ADT TriggerReal-time
Platform SLA< 15 min respond

Every Autonomous Action Has a Safety Net

The HANDOFF protocol is Florence’s structured escalation framework. When autonomous outreach detects clinical complexity, a complete context package is routed to your care team — ensuring zero information loss and zero clinical latency.

“Florence never makes clinical decisions. Your clinicians always have the final word.”

Priority Handoff Protocol
01

Patient & Workflow Context

Jane Doe | DOB 03/12/1958 | MBI 1EG4-TE5-MK72 | AWV Outreach

02

Interaction Summary

Patient expressed new onset chest pressure during routine AWV scheduling call. Duration ~4 min.

03

Full Verbatim Transcript

Complete call transcript with timestamps, speaker labels, and sentiment annotations.

04

Key Clinical Findings

Chest pressure (new), exertional dyspnea, medication non-adherence flagged.

05

Suggested Next Step

Recommend urgent PCP follow-up within 24 hrs. TCM workflow may apply if recent discharge.

A Complete, Auditable Record

AUTOAI Transparency

Every autonomous node decision is mapped, logged, and exportable for MA compliance audits.

HANDOFF Filter

Strict escalation rules ensure zero clinical latency when manual intervention is required.

Billing-Ready Docs

Auto-generated encounter summaries structured for TCM, CCM, and RPM billing codes.

Platform Intelligence

Proprietary engines built specifically for the complexities of Medicare Advantage populations.

Florence Operations Center
Chronicity Matrix™
Transition Compass™
EmpathyCore™
Predictive Care Gap™
20+ Language Support

Chronicity Matrix™

Multi-condition interaction mapping that identifies compounding risk patterns across your population.

CHF + CKD

847 pts

Highest Volume

HTN + Lipids

3,247 pts

Diabetes + HTN

2,341 pts

Depression + Pain

1,892 pts

CKD + Diabetes

1,156 pts

COPD + CHF

523 pts

High Complexity

Triple Chronic

412 pts

Critical Complexity

5+ Conditions

189 pts

Transition Compass™

Transition Compass™

Orchestrating care from the moment of discharge with zero latency.

0m
ADT Feed Hit
5m
Record Parsed
10m
Protocol Gen
15m
Outreach Init
Discharge Orchestration Engine
  • Ingests standard ADT feeds instantly
  • Identifies readmission risk stratification
  • Auto-schedules 48-hour follow-up blocks
  • Initiates medication reconciliation prep
24/7 Emergency Response Protocol
  • Sentiment analysis detects distress words
  • Pauses automated dialog immediately
  • Hot-transfers to on-call clinical triage
  • Packages interaction history for rapid context

EmpathyCore™

Purpose-built empathetic listening engine designed for Senior populations. Detects emotional state, cognitive patterns, and social determinant signals in real time.

Detects

Cognitive Decline

78.2%

Detects

Depression

85%

Detects

Anxiety

92%

Detects

Pain

88%

Adaptive Conversation Engine outcomes

35%

Better Adherence

90%

Patient Sat

30+

Languages

Predictive Care Gap Intelligence™

Proactive closure of care gaps before they impact Star Ratings. Machine-learning models identify at-risk members and initiate outreach automatically.

Lab Trend
Prediction
Outreach
Gap Closed
Medication Adherence85% Closed
Preventive Screening75% Closed
Disease Control65% Closed

Why Florence Outperforms Standard IVR

Every Number Every Time

LexisNexis integration ensures current contact information for every member, eliminating outdated records.

Speaks Their Language

20+ languages with zero translation delay. Cultural context built into every conversation model.

Omnichannel Persistence

87% vs 23% contact rate. Voice, SMS, and portal outreach in a coordinated sequence that never gives up.

Complete Context

HIE, ADT, and Claims data synthesized before every call. Florence knows the member's story.

24/7 Availability

Never takes a sick day, never burns out. Scales to 10,000 simultaneous conversations effortlessly.

Care-Team Partnered

HANDOFF protocol ensures seamless escalation. AI augmentation, not replacement, for your clinical staff.

Experience the Engine

Hear Florence in Action

Post-Discharge Follow-Up1:42
HEDIS Gap Closure0:58
Medication Adherence2:15
Complex Care Navigation3:40

What We Measure in Pilots

  • Reduction in 30-day all-cause readmissions
  • Increase in ambulatory follow-up rates within 7/14 days
  • Care manager capacity lift (measured by panels/FTE)
  • Adverse Drug Event (ADE) interception rate
  • HEDIS gap closure velocity vs historical control

15% average readmission rate for Medicare beneficiaries. Over 500k hospitalizations yearly due to ADEs.

Ready to Transform Your MA Performance?

Schedule an executive briefing to see how Florence can improve outcomes, close care gaps, and elevate your Star Ratings.

Florence is designed to augment clinical judgment, not replace it. All AI-generated recommendations require review by qualified healthcare professionals.