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We turn ideas into scalable products with proven delivery across 18+ industries. EXPLORE NOW!

AI Post-Discharge Follow-Up Agent

Patient engagement software for post-discharge monitoring: structured outreach, symptom escalation, medication adherence, and readmission prevention.

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See it working on your own workflows. We reply within 24 hours.

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BrowserStack
Persistent
Yatra
Kellton
Jade Global
Optum
PokerBaazi
Walmart
Turing
BrowserStack
Persistent
Yatra
Kellton
Jade Global
Optum
PokerBaazi
Walmart
Turing

Trusted by startups and global leaders

BrowserStack
Persistent
Yatra
Kellton
Jade Global
Optum
PokerBaazi
Walmart
Turing
BrowserStack
Persistent
Yatra
Kellton
Jade Global
Optum
PokerBaazi
Walmart
Turing

Core Capabilities of the AI Post-Discharge Follow-Up Agent

From personalised multi-channel outreach and condition-specific symptom monitoring to medication adherence verification, appointment coordination, EHR documentation, and population-level readmission analytics — these six capability pillars help hospitals and health systems protect patients and prevent CMS HRRP penalties.

Personalised Outreach & Patient Engagement

Automated outreach at 24h, 72h, 7, 14, and 30 days post-discharge — calibrated by discharge diagnosis and readmission risk tier.

Symptom Monitoring & Clinical Escalation

Structured symptom checks at every contact — covering CHF, COPD, pneumonia, post-surgical, diabetes, and DVT monitoring.

Medication Adherence & Prescription Reconciliation

Confirms all discharge prescriptions are filled at 48h and 7 days — flagging cost, access, or comprehension barriers for resolution.

Appointment Scheduling, Reminders & SDOH Navigation

Books or confirms PCP follow-up at the 24-hour contact — missed 7-day appointments are linked to 2.7× higher 30-day readmission risk.

EHR Integration & Care Team Documentation

Logs every post-discharge contact to Epic, Oracle Health, or athenahealth automatically — outcomes, symptoms, adherence, and escalations.

Readmission Analytics & HRRP Performance Intelligence

Live dashboard segmenting active post-discharge patients by readmission risk tier, contact compliance, and escalation outcomes.

85%
Every Preventable Readmission Costs Your Health System an Average of $15,200 — and 76% Are Preventable.
AI Post-Discharge Follow-Up Agent

CMS enforces it with HRRP payment penalties of up to 3% of total Medicare reimbursement for hospitals with excess 30-day readmission rates.

Get Your Readmission Risk Assessment
AI Readiness

The Readmission Crisis Begins the Moment the Patient Leaves

Every number comes from production revenue-cycle deployments — measured live, not projected in a pitch deck.

$15,200

Every Preventable Readmission Costs Your Health System an Average of $15,200 — and 76% Are Preventable.

30%

reduction in 30-day readmission rates achieved by health systems implementing AI-driven post-discharge follow-up with structured symptom escalation protocols…

100+

Enterprise customers trusting Bonami X AI for mission-critical healthcare and revenue cycle operations.

24/7

Autonomous monitoring with real-time alerts — continuous automated intervention across every workflow.

Our Process

Why Health Systems Deploy the AI Post-Discharge Follow-Up Agent

Drag, click, or use the dots to walk through each reason.

Evidence-Based Contact at 24h, 72h, 7, 14, and 30 Days — Fully Automated
A follow-up call within 48 hours cuts readmissions 30% — the agent delivers all five evidence-based contact intervals automatically.
Symptom Escalation Before Clinical Events Become Readmissions
Warning signs show days before readmission — the agent monitors every patient and escalates the moment a threshold is crossed.
HRRP Penalty Risk Quantified and Systematically Reduced
CMS HRRP penalties reach 3% of Medicare payments — up to $1.5M a year, so the agent builds the infrastructure to prove prevention at audit.

Works With Your Existing EHR and Patient Engagement Stack

The AI Post-Discharge Follow-Up Agent ships with certified connectors for the leading EHR platforms, patient communication systems, and post-acute care environments — connecting to your live clinical environment in weeks without disrupting existing care workflows.

Healthcare AI & Patient Engagement Knowledge Centre

Deep-dive insights from our AI engineers and healthcare operations specialists on building, deploying, and scaling autonomous post-discharge follow-up agents across hospital, health system, and post-acute care environments.

From the Desk of Our Esteemed Clients

Real results from enterprises that have deployed Bonami's AI solutions across industries.

Bonami's AI platform revolutionized our content creation process. Their natural language generation tools helped us scale our content production by 300% while maintaining exceptional quality and brand voice.

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85%
Stop Discovering Patient Deterioration at the Emergency Department Door

The warning signs that predict 76% of preventable readmissions are present in the days after discharge — in the patient's symptoms, medication adherence, and follow-up appointment compliance.

Book a Readmission Prevention Demo
AI Readiness

Core Capabilities of the AI Post-Discharge Follow-Up Agent

From personalised multi-channel outreach and condition-specific symptom monitoring to medication adherence verification, appointment coordination, EHR documentation, and population-level readmission analytics — these…

01

Personalised Outreach

Automated outreach at 24h, 72h, 7, 14, and 30 days post-discharge — calibrated by discharge diagnosis and readmission risk tier.

02

Symptom Monitoring

Structured symptom checks at every contact — covering CHF, COPD, pneumonia, post-surgical, diabetes, and DVT monitoring.

03

Medication Adherence

Confirms all discharge prescriptions are filled at 48h and 7 days — flagging cost, access, or comprehension barriers for resolution.

04

Appointment Scheduling, Reminders

Books or confirms PCP follow-up at the 24-hour contact — missed 7-day appointments are linked to 2.7× higher 30-day readmission risk.

05

EHR Integration

Logs every post-discharge contact to Epic, Oracle Health, or athenahealth automatically — outcomes, symptoms, adherence, and escalations.

06

Readmission Analytics

Live dashboard segmenting active post-discharge patients by readmission risk tier, contact compliance, and escalation outcomes.

Get in touch

Ready to Close the Post-Discharge Care Gap and Reduce Preventable Readmissions?

Talk to a healthcare AI automation specialist — get a live demo of the Post-Discharge Follow-Up Agent running against your patient population and a 30-day readmission risk assessment for your current discharge volume.

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Frequently Asked Questions

[ 1 ]

What is an AI Post-Discharge Follow-Up Agent and which patient populations does it serve?

It manages structured patient contact across the 30-day post-discharge window — outreach at evidence-based intervals, condition-specific symptom questionnaires, medication adherence checks, appointment confirmation, SDOH screening, and real-time escalation of clinical warning signs.

[ 2 ]

How does the agent handle symptom escalation and what happens when a patient reports a warning sign?

Escalation thresholds are defined by the clinical team per discharge diagnosis category. High-acuity responses — chest pain, severe breathlessness at rest, stroke signs, suspected sepsis — trigger an immediate on-call alert and advise the patient to call emergency services, and the agent stays engaged until staff acknowledge.

[ 3 ]

How does the agent verify medication adherence after discharge?

Verification operates at two levels. At the 48-hour contact, the agent confirms prescriptions were collected, medications are taken as directed, and no concerning side effects — routing non-adherence, unfilled prescriptions, or regimen confusion to pharmacist or care coordinator follow-up.

[ 4 ]

How does the agent handle patients who do not respond to follow-up contact attempts?

Non-response is treated as a clinical risk signal, not an administrative outcome. The agent makes at least three attempts per interval across different times of day before marking a contact non-responsive.

[ 5 ]

How does the agent address social determinants of health barriers after discharge?

SDOH screening runs in the 24-hour and 7-day contacts using a validated tool — typically the AHC Health-Related Social Needs Screening Tool or PRAPARE. It screens for transportation, medication access, food security, housing stability, and caregiver availability.

[ 6 ]

Which EHR systems and communication platforms does the agent integrate with?

EHR: Epic (FHIR R4 and MyChart messaging), Oracle Health/Cerner (FHIR R4 and HL7), athenahealth, NextGen, and eClinicalWorks — any EHR with a documented FHIR R4 endpoint is supported.

[ 7 ]

How is HIPAA compliance maintained across automated patient outreach?

All PHI stays within the health system's HIPAA-compliant cloud environment under BAA coverage. Outbound messages minimise PHI — referencing only first name and general context, with detailed clinical discussion kept to the secure patient portal or verified inbound channels.

[ 8 ]

How long does implementation take and what readmission reduction can we expect?

A standard single-entity implementation runs 8–12 weeks: EHR integration (FHIR R4 connector, discharge ADT feed, medication and care plan mapping); then clinical protocol configuration (symptom questionnaires, escalation thresholds, SDOH instrument and routing) with parallel testing against historical records; then a monitored pilot cohort; then phased expansion with threshold tuning.

[ 9 ]

How does this patient follow up software differ from generic patient outreach software?

Generic patient outreach software broadcasts reminders on a fixed schedule with no clinical logic. This patient follow up software is purpose-built for the 30-day post-discharge window, so every contact at 24 hours, 72 hours, 7, 14, and 30 days runs condition-specific symptom monitoring, medication adherence verification, and SDOH screening.

[ 10 ]

Can this readmission prevention software calculate our HRRP penalty exposure?

Yes. The agent tracks 30-day readmission rates by CMS-measured condition — heart failure, AMI, pneumonia, COPD, hip and knee arthroplasty, and CABG — and trends them against CMS penalty thresholds and prior-period baselines on a live dashboard.

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