$15,200
Every Preventable Readmission Costs Your Health System an Average of $15,200 — and 76% Are Preventable.
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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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.
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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.
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 by 30%. The AI agent delivers all five evidence-based contact intervals automatically — no extra headcount needed.
Symptom Escalation Before Clinical Events Become Readmissions
Warning signs appear days before readmission — weight gain in CHF, worsening dyspnoea in COPD. The agent monitors every patient at every interval 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 annually. The agent gives hospitals the monitoring infrastructure to demonstrate systematic 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.
Epic
Oracle Health
athenahealth
MyChart
Twilio
PointClickCare
Salesforce Health
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.
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.
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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.
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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?
An AI Post-Discharge Follow-Up Agent manages structured patient contact throughout the 30-day post-discharge transition window — initiating outreach at evidence-based intervals, administering condition-specific symptom monitoring questionnaires, verifying medication adherence, confirming follow-up appointments, screening for SDOH barriers, and escalating clinical warning signs to the care team in real time.
[ 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 during implementation for each discharge diagnosis category. High-acuity responses — chest pain, severe breathlessness at rest, signs of stroke, suspected sepsis indicators — trigger an immediate alert to on-call clinical staff and simultaneously advise the patient to call emergency services.
[ 3 ]
How does the agent verify medication adherence after discharge?
Medication adherence verification operates at two levels. At the 48-hour contact, the agent asks whether all discharge prescriptions have been collected from the pharmacy, whether the patient is taking each medication as directed, and whether they are experiencing concerning side effects.
[ 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 rather than an administrative outcome. The agent makes a minimum of three contact attempts per scheduled interval across different times of day before classifying the contact as non-responsive.
[ 5 ]
How does the agent address social determinants of health barriers after discharge?
SDOH screening is integrated into the 24-hour and 7-day post-discharge contacts using a validated screening tool — typically a condensed version of the AHC Health-Related Social Needs Screening Tool or the PRAPARE instrument.
[ 6 ]
Which EHR systems and communication platforms does the agent integrate with?
EHR integration: Epic (FHIR R4 APIs and MyChart patient portal messaging), Oracle Health/Cerner (FHIR R4 APIs and HL7 interfaces), athenahealth (athenaClinicals FHIR and API suite), NextGen Healthcare (FHIR R4), and eClinicalWorks.
[ 7 ]
How is HIPAA compliance maintained across automated patient outreach?
All patient PHI remains within the health system's HIPAA-compliant cloud environment with BAA coverage. Patient communication is designed to minimise PHI in the outbound message channel — the agent references the patient by first name and general health context only in outbound messages, with detailed clinical discussion occurring within the secure patient portal or verified inbound patient-initiated channels.
[ 8 ]
How long does implementation take and what readmission reduction can we expect?
A standard implementation covering one hospital or health system entity runs 8–12 weeks. Weeks 1–3: EHR integration configuration — FHIR R4 connector setup, discharge ADT feed integration, and discharge medication and care plan data retrieval mapping.
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