23%
23% of All Initial Insurance Claim Denials Trace Directly to Incomplete or Incorrect Patient Intake Data.
Trusted by startups and global leaders
Core Capabilities of the AI Patient Intake & History Agent
Six capability pillars — from pre-visit digital intake and AI-guided HPI generation to real-time insurance verification, EHR pre-population, SDOH screening, and medication reconciliation — deployed across primary care, specialty, urgent care, and hospital outpatient settings.
Pre-Visit Digital Intake & Conversational Questionnaires
Automated pre-visit outreach 24–48 hours before appointments via SMS, email, and patient portal — patients complete intake on any device, with no queue.
AI-Guided History Taking & HPI Generation
Conversational AI conducts a structured clinical history interview — chief complaint, HPI, past medical and surgical history, family history, and review of systems — in natural language patients answer in their own words.
Real-Time Insurance Eligibility Verification & Benefits Intelligence
Real-time eligibility verification against submitted insurance — confirming active coverage, plan type, effective dates, and network status before arrival.
EHR Pre-Population & Data Synchronisation
Every element collected — demographics, insurance, medical and social history, medications, allergies, ROS, SDOH screenings, and signed consent — is pre-populated into the EHR via certified HL7 FHIR R4 API before arrival.
SDOH Screening & Care Gap Identification
Standardised SDOH screening in every intake — validated instruments (AHC HRSN, PRAPARE, Hunger Vital Sign, housing instability) administered conversationally in culturally sensitive language.
Medication Reconciliation & Allergy Capture
Conversational medication history collection using natural language that understands brand names, generics, misspellings, and patient shorthand ("the little white blood pressure pill").
85%
23% of All Initial Insurance Claim Denials Trace Directly to Incomplete or Incorrect Patient Intake Data.
AI Patient Intake Agent
Each denial costs $50–$200 to rework, and many are never recovered.
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The Friction and Failure of Manual Patient Intake
Every number comes from production revenue-cycle deployments — measured live, not projected in a pitch deck.
60%
reduction in front desk administrative time per patient through automated pre-visit intake — staff shift from data collection to patient care.
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 Healthcare Organisations Choose Bonami's AI Patient Intake & History Agent
Drag, click, or use the dots to walk through each reason.
Complete Patient History Before the Physician Enters the Room
The AI agent delivers a complete structured history to the chart before the visit begins — reclaiming the 5–8 minutes manual intake wastes.
Insurance Verification in Seconds — Not Thirty-Minute Phone Queues
The AI agent verifies eligibility in 2–5 seconds during intake — replacing 10–30 minute phone queues, with benefits ready before check-in.
SDOH and Care Gap Intelligence Built Into Every Single Encounter
SDOH drives 30–55% of health outcomes, yet most screen under 20% — the AI agent screens every patient pre-visit at 75–85% completion.
Works With Your Existing EHR and Practice Management Stack
Certified integrations with leading EHR systems, practice management platforms, insurance eligibility networks, and pharmacy sources — delivering verified patient data directly into your existing clinical workflows.
Epic
Epic EHR AI patient intake and history agent integration via SMART on FHIR and MyChart
Oracle Cerner
Oracle Cerner AI patient intake automation and pre-visit history integration
athenahealth
athenahealth AI patient intake, eligibility verification and EHR pre-population integration
Meditech
Meditech Expanse AI patient registration and history intake automation integration
Workday
Workday healthcare operations integration for patient intake workflow management
Allscripts
Allscripts Veradigm AI patient intake and medical history automation integration
ServiceNow
ServiceNow healthcare workflow integration for patient intake routing and care coordination
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 Starting Every Encounter With Incomplete Information, Unverified Insurance, and a Blank History
Every encounter that begins without a complete history delivers less than it could.
Book a Patient Intake AI Demo
Core Capabilities of the AI Patient Intake & History Agent
Six capability pillars — from pre-visit digital intake and AI-guided HPI generation to real-time insurance verification, EHR pre-population, SDOH screening, and medication reconciliation — deployed across primary…
01
Pre-Visit Digital Intake
Automated pre-visit outreach 24–48 hours before appointments via SMS, email, and patient portal — patients complete intake on any device, with no queue.
02
AI-Guided History Taking
Conversational AI conducts a structured clinical history interview — chief complaint, HPI, past medical and surgical history, family history, and review of systems — in natural language patients answer in their own words.
03
Real-Time Insurance Eligibility Verification
Real-time eligibility verification against submitted insurance — confirming active coverage, plan type, effective dates, and network status before arrival.
04
EHR Pre-Population
Every element collected — demographics, insurance, medical and social history, medications, allergies, ROS, SDOH screenings, and signed consent — is pre-populated into the EHR via certified HL7 FHIR R4 API before arrival.
05
SDOH Screening
Standardised SDOH screening in every intake — validated instruments (AHC HRSN, PRAPARE, Hunger Vital Sign, housing instability) administered conversationally in culturally sensitive language.
06
Medication Reconciliation
Conversational medication history collection using natural language that understands brand names, generics, misspellings, and patient shorthand ("the little white blood pressure pill").
Get in touch
Ready to Start Every Encounter With a Complete Patient Picture?
Get a live demo of the AI Patient Intake & History Agent — conversational HPI generation, real-time eligibility verification, and EHR pre-population for your clinical setting.
Response within 24 hours
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Frequently Asked Questions
[ 1 ]
What is an AI Patient Intake & History Agent?
It manages the entire pre-encounter data collection process — dispatching pre-visit questionnaires, running a conversational AI-guided medical history interview, verifying insurance eligibility in real time, and pre-populating every element into the EHR before arrival.
[ 2 ]
How does the conversational AI history taking work — and will patients actually complete it?
A natural-language AI runs via a mobile web link sent by SMS or email — no app download. Rather than a static list, it holds an adaptive conversation that branches from the reason for visit (knee pain gets a musculoskeletal history; a diabetes follow-up gets diabetes management), in plain language at a 6th-grade reading level across 40+ languages.
[ 3 ]
How does the insurance eligibility verification work?
Verification runs automatically when the patient submits insurance details. The agent queries Availity, Waystar, or Change Healthcare — 95%+ of commercial payers, Medicare, and Medicaid — and returns a full response in 2–5 seconds: active coverage, plan type, network status for your NPI, deductible, copay and coinsurance, out-of-pocket maximum, and prior authorisation requirements.
[ 4 ]
Which EHR systems does it integrate with, and how does pre-population work?
Certified native integrations for Epic, Oracle Cerner, athenahealth, Meditech Expanse, Allscripts/Veradigm, eClinicalWorks, and NextGen — via Epic App Orchard and SMART on FHIR R4.
[ 5 ]
How does it handle medication reconciliation — and what happens when patient-reported medications don't match pharmacy records?
Patients list medications in natural language, and RxNorm-linked understanding resolves brand names, generics, and combination products into structured records. These are cross-referenced against Surescripts dispensing history to flag non-adherence, under-reporting, and dose or frequency discrepancies — each surfaced to the physician in the pre-encounter summary.
[ 6 ]
How does the SDOH screening integrate with care management and community referral workflows?
The SDOH module administers validated instruments — AHC HRSN, PRAPARE, Hunger Vital Sign, and housing instability screens — within pre-visit intake, in conversational language that preserves psychometric validity.
[ 7 ]
How does it comply with HIPAA and patient data privacy requirements?
The agent processes PHI as a Business Associate under a BAA executed at deployment. Patient communication uses encrypted links (no PHI in the link) over HTTPS with TLS 1.3, and data goes to the EHR via authenticated FHIR API — not stored in Bonami infrastructure beyond the active session.
[ 8 ]
What ROI can healthcare organisations expect from deploying an AI Patient Intake & History Agent?
ROI spans three dimensions. Revenue cycle: eliminating intake-attributable denials for a practice filing 5,000 claims/month recovers ~1,150 denials at $50–$200 each ($57,500–$230,000 monthly), and real-time eligibility cuts related write-offs 60–80%.
[ 9 ]
How does this digital patient intake software replace paper patient intake forms?
Bonami's patient intake software replaces paper forms with an online patient intake flow patients complete on their own phone 24–48 hours before the appointment.
[ 10 ]
Is this patient registration software or full patient intake and history software?
It is both. As patient registration software, it captures and verifies demographics and insurance eligibility in real time during online patient intake, so the chart is accurate before check-in.
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