Award-Winning AI Charge Capture Software
Six Core Capabilities of the AI Charge Capture Agent
From real-time clinical event monitoring and automated charge generation to CDM integrity, high-cost supply tracking, and charge lag surveillance.
Event Monitoring & Charge Detection
Monitors EHR FHIR R4 orders, notes, and meds — applying charge logic instantly.
Charge Generation From Documentation
Auto-generates the CDM charge the moment a billable order completes.
Supply & Implant Charge Capture
Reconciles OR supplies against the charge sheet — flags missing implants.
CDM Integrity & Mapping Validation
Validates every CDM entry against CPT/HCPCS and CMS fee schedules.
Charge Lag & Filing Deadlines
Real-time charge lag dashboard by provider, department, and encounter type.
Reconciliation & Leakage Analytics
Compares expected vs captured charges per service line, daily by department.
The HFMA benchmark is clear: charge capture failures drain 1–3% of net patient revenue annually — through services rendered without charges captured, not through billing errors or payer disputes.
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1–3% of Net Patient Revenue Leaves Every Health System Uncaptured Every Year
of net patient revenue is lost every year to charge capture failures — not billing errors or payer disputes.
HFMA / Advisory Board benchmark$3M–$9M in services already delivered and documented — never billed — at a $300M-net-revenue hospital.
Most of it never reaches the billing department. It is lost at the point of care: a service documented but no charge triggered, an implant used but not scanned, a note signed after discharge with nobody watching the clock.
- Services rendered but never billed
- Charges entered days after the service
- High-cost supplies used with no matching charge
- CDM mapping errors that silently drop revenue
Why Choose the AI Charge Capture Agent
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Works With Your EHR, Supply Chain, and Billing Systems
The AI Charge Capture Agent connects to leading EHR, materials management, and revenue cycle billing platforms.
Epic
Epic EHR integration for automated charge capture and generation
Oracle Health
Oracle Health Cerner integration for inpatient charge capture
Availity
Availity integration for pre-submission charge validation
athenahealth
athenahealth integration for ambulatory charge capture and CDM
eClaimLink
eClaimLink UAE integration for DHA and HAAD charge capture
Daman
Daman UAE integration for charge capture and revenue integrity
Healthcare Revenue Cycle Knowledge Centre
Insights on autonomous charge capture across hospital and ambulatory care.
Healthcare Revenue Cycle Automation: A Complete AI Implementation Guide
A practical, step-by-step guide to automating the revenue cycle end to end — from charge capture through denial management.
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AI Medical Coding: How NLP and Machine Learning Are Transforming Revenue Cycle Accuracy
How NLP and machine learning read clinical notes to assign accurate codes and cut manual coding review time.
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How to Choose the Best AI Agent Development Company for Healthcare
What to evaluate — EHR integration depth, compliance posture, and deployment track record — before you commit.
Read the articleProven in Healthcare Revenue Cycle Operations
Real deployments applying AI in revenue cycle management across billing, coding, and collections — not projected numbers.
98% Collection Rate 5-Location DSO Hits a 98% Collection Rate
An RCM dashboard traced every dollar from service to payment — lifting collections from 78% to 98% and recovering $275K.
15-Day Reimbursement 60-Day Reimbursement Cycles Cut to 15 Days
Automated CDT/CPT/ICD-10 claim generation and EOB reconciliation compressed cash cycles and lifted coding accuracy to 98%.
$180K Risk Prevented $180K in Compliance Risk Prevented
A cross-coding validation engine blocked impossible CDT/CPT/ICD-10 pairings, lifting first-pass claim acceptance from 65% to 94% with zero audit findings.
Every missed charge, every late entry past the filing window, every implant documented in the operative report but absent from the charge sheet — each represents care your clinicians delivered and your health system absorbed without reimbursement.
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The Charge Capture Agent, at a Glance
A quick recap of the six capabilities that close revenue leakage automatically.
Event Monitoring
Monitors EHR FHIR R4 orders, notes, and meds — applying charge logic instantly.
Charge Generation From Documentation
Auto-generates the CDM charge the moment a billable order completes.
Supply
Reconciles OR supplies against the charge sheet — flags missing implants.
CDM Integrity
Validates every CDM entry against CPT/HCPCS and CMS fee schedules.
Charge Lag
Real-time charge lag dashboard by provider, department, and encounter type.
Reconciliation
Compares expected vs captured charges per service line, daily by department.
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Capture Every Billable Charge
Get a live Charge Capture Agent demo and revenue leakage assessment.
Frequently Asked Questions
What is charge capture in healthcare, and why does it matter?
Charge capture is the process of turning a delivered clinical service into a billable charge. When it fails, the service was still delivered — the health system just never gets paid for it.
What is an AI Charge Capture Agent and how is it different from medical coding automation?
Coding gets the ICD-10 and CPT right; charge capture makes sure the charge exists at all. The agent detects billable events from documentation.
Which care settings and service lines does the agent cover?
Inpatient and critical care, OR/surgical with implants and supplies, emergency/ICU, and outpatient E/M with infusion reconciliation.
How does the agent handle high-cost implant and supply charge capture?
A three-way reconciliation across materials management, case cart, and operative note, with HCPCS L-code validation on high-cost implants.
How does timely filing deadline management work in practice?
Open encounters are tracked against a per-payer deadline matrix and escalated to revenue integrity at 30, 14, and 7 days out.
How does automated E/M level selection work, and what is the compliance framework?
The agent applies the 2021 AMA medical decision-making framework to the signed note and attaches supporting MDM elements for audit defence.
Which EHR systems and supply chain platforms does the agent integrate with?
FHIR R4 with Epic, Oracle Health/Cerner, athenahealth, NextGen, and eClinicalWorks; supply chain via HL7 v2; eClaimLink and TPA APIs in the UAE.
What revenue recovery ROI can we expect and how quickly?
Missed charge rates fall from 1–3% toward 0.2–0.5% of net revenue, and most deployments recover full investment within 3–5 months.
Does the agent work alongside existing revenue integrity and CDI teams?
Yes. Specialists move from manual sampling to exception queues, and the agent reuses your CDI query process to avoid duplicate queries.
How does this charge capture software differ from outsourced charge capture services and other charge capture solutions or applications?
Outsourced charge capture services still depend on a person reviewing each encounter after the fact. Bonami's charge capture software generates charges from signed documentation the moment it's written and reconciles daily — no review
Does the agent support mobile charge capture and charge capture medical billing workflows?
Yes. Charge gap alerts follow clinicians wherever they document, and charges post to medical billing via the EHR charge entry API.
Who builds and runs this agent?
This agent is one of 32 built and maintained by Bonami X AI, our production AI agent division. If you want an agent like this scoped for your own workflow, our AI agent development company team handles discovery, build, integration, and support end to end.