23%
23% of All Initial Insurance Claim Denials Trace Directly to Incomplete or Incorrect Patient Intake Data.
AI Patient Intake Agent
AI patient intake software that automates pre-visit intake, AI-guided history taking, insurance verification, and EHR pre-population across every encounter.
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Core Capabilities of the AI Patient Intake & History Agent
From automated pre-visit digital intake and AI-guided History of Present Illness generation to real-time insurance verification, EHR pre-population, SDOH screening, and medication reconciliation — these six capability pillars are deployed across primary care, specialty, urgent care, and hospital outpatient settings.
Pre-Visit Digital Intake & Conversational Questionnaires
Automated pre-visit outreach dispatched 24–48 hours before scheduled appointments via SMS, email, and patient portal — patients complete intake at their convenience on any device, without visiting the practice or waiting in a queue.
AI-Guided History Taking & HPI Generation
Conversational AI conducts a structured clinical history interview — collecting chief complaint, HPI, past medical history, surgical history, family history, and review of systems — in natural language that patients can answer in their own words.
Real-Time Insurance Eligibility Verification & Benefits Intelligence
Automated eligibility verification runs in real time against the patient's submitted insurance information — confirming active coverage, plan type, effective dates, and network status before the patient arrives.
EHR Pre-Population & Data Synchronisation
Every data element collected during pre-visit intake — demographics, insurance, medical history, social history, medications, allergies, ROS responses, SDOH screenings, and signed consent forms — is pre-populated directly into the EHR via certified HL7 FHIR R4 API before the patient arrives.
SDOH Screening & Care Gap Identification
Standardised SDOH screening integrated into every intake sequence — validated instruments including AHC HRSN, PRAPARE, Hunger Vital Sign, and housing instability screens administered conversationally with culturally sensitive language.
Medication Reconciliation & Allergy Capture
Conversational medication history collection guides patients through their current medications using natural language recognition that understands brand names, generics, common 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 a significant proportion 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 achieved through automated pre-visit intake — staff shift from data collection to patient care and…
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 clinical encounter has a fixed duration — 15 minutes in primary care, 20–30 in specialty — yet in a manual intake model the physician spends the first 5–8 minutes collecting information they should already have. The AI agent…
Insurance Verification in Seconds — Not Thirty-Minute Phone Queues
Manual insurance eligibility verification consumes 20–30% of front desk staff time in high-volume practices, with each manual verification taking 10–30 minutes on hold with the insurer — a task that should take seconds. The AI agent…
SDOH and Care Gap Intelligence Built Into Every Single Encounter
Social Determinants of Health account for 30–55% of health outcomes according to WHO and CDC research, yet most practices screen fewer than 20% of patients using paper-based methods. The AI agent administers validated SDOH screening…
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
Oracle Cerner
athenahealth
Meditech
Workday
Allscripts
ServiceNow
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 patient history is an encounter that delivers less than it could.
Book a Patient Intake AI Demo
Core Capabilities of the AI Patient Intake & History Agent
From automated pre-visit digital intake and AI-guided History of Present Illness generation to real-time insurance verification, EHR pre-population, SDOH screening, and medication reconciliation — these six capability…
01
Pre-Visit Digital Intake
Automated pre-visit outreach dispatched 24–48 hours before scheduled appointments via SMS, email, and patient portal — patients complete intake at their convenience on any device, without visiting the practice or waiting in a queue.
02
AI-Guided History Taking
Conversational AI conducts a structured clinical history interview — collecting chief complaint, HPI, past medical history, surgical history, family history, and review of systems — in natural language that patients can answer in their own words.
03
Real-Time Insurance Eligibility Verification
Automated eligibility verification runs in real time against the patient's submitted insurance information — confirming active coverage, plan type, effective dates, and network status before the patient arrives.
04
EHR Pre-Population
Every data element collected during pre-visit intake — demographics, insurance, medical history, social history, medications, allergies, ROS responses, SDOH screenings, and signed consent forms — is pre-populated directly into the EHR via certified HL7 FHIR R4 API before the patient arrives.
05
SDOH Screening
Standardised SDOH screening integrated into every intake sequence — validated instruments including AHC HRSN, PRAPARE, Hunger Vital Sign, and housing instability screens administered conversationally with culturally sensitive language.
06
Medication Reconciliation
Conversational medication history collection guides patients through their current medications using natural language recognition that understands brand names, generics, common misspellings, and patient shorthand ("the little white blood pressure pill").
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Frequently Asked Questions
[ 1 ]
What is an AI Patient Intake & History Agent?
An AI Patient Intake & History Agent manages the complete pre-encounter data collection process — from dispatching pre-visit intake questionnaires, to conducting a conversational AI-guided medical history interview, to verifying insurance eligibility in real time, to pre-populating every collected data element into the EHR before the patient arrives.
[ 2 ]
How does the conversational AI history taking work — and will patients actually complete it?
The conversational intake uses a natural language AI accessible via a mobile-optimised web link sent by SMS or email — no app download required. Instead of a static list of clinical questions, the AI conducts an adaptive conversation starting with the patient's reason for visit and branching to relevant follow-up questions based on each response.
[ 3 ]
How does the insurance eligibility verification work?
Insurance verification runs automatically when the patient submits their insurance information during pre-visit intake. The agent queries the Availity, Waystar, or Change Healthcare eligibility network — covering 95%+ of commercial payers, Medicare, and Medicaid — and returns a comprehensive eligibility response within 2–5 seconds: active coverage confirmation, plan type, network status for your specific provider NPI, deductible and year-to-date amount applied, copay and coinsurance by service category, out-of-pocket maximum and remaining balance, and prior authorisation requirements for the scheduled service type.
[ 4 ]
Which EHR systems does it integrate with, and how does pre-population work?
Certified native integrations for Epic (via Epic App Orchard and SMART on FHIR R4), Oracle Cerner (HealtheIntent and Millennium via SMART on FHIR), athenahealth (athenahealth API programme), Meditech Expanse (Meditech App Orchard and FHIR R4), Allscripts/Veradigm, eClinicalWorks, and NextGen Healthcare.
[ 5 ]
How does it handle medication reconciliation — and what happens when patient-reported medications don't match pharmacy records?
Medication history is collected through a conversational exchange where the patient lists current medications in natural language. The AI uses RxNorm-linked natural language understanding to recognise brand names, generic names, combination products, and patient colloquialisms and resolves them to structured medication records.
[ 6 ]
How does the SDOH screening integrate with care management and community referral workflows?
The SDOH screening module administers validated instruments — AHC HRSN, PRAPARE, Hunger Vital Sign, and housing instability screens — as part of the pre-visit digital intake, using conversational language that preserves the validated psychometric properties while being accessible to patients with varying health literacy.
[ 7 ]
How does it comply with HIPAA and patient data privacy requirements?
The agent processes PHI as a Business Associate under a BAA executed with every healthcare organisation at deployment. All patient communication uses encrypted links to the intake interface — no PHI is transmitted in the link itself.
[ 8 ]
What ROI can healthcare organisations expect from deploying an AI Patient Intake & History Agent?
The ROI operates across three dimensions. Revenue cycle improvement: eliminating intake-attributable denials for a practice filing 5,000 claims/month recovers 1,150 monthly denials at $50–$200 rework cost each — $57,500–$230,000 in monthly rework savings.
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