Charge reconciliation in healthcare ensures that every service delivered is accurately captured, billed, and reimbursed. Manual reconciliation processes miss charges, create mismatches, and leave revenue uncollected. HealOS automates charge reconciliation healthcare workflows using AI. Our platform compares clinical activity, charge capture, and billing data to identify gaps instantly, ensuring no charge is lost, delayed, or underbilled.
Healthcare organizations lose significant revenue due to incomplete or inaccurate charge reconciliation.
Missed charges from clinical encounters
Delays between documentation and charge entry
Mismatched CPT and diagnosis codes
Incomplete charge capture from ancillary services
Manual audits and spreadsheet tracking
Limited visibility into revenue leakage
Traditional charge reconciliation healthcare workflows are reactive, labor-intensive, and unable to scale. Automation is now essential.
HealOS is an AI-powered charge reconciliation platform designed to ensure all billable services are captured and billed correctly. It connects clinical documentation, charge capture systems, and billing workflows into one intelligent reconciliation engine, protecting revenue at scale.
HealOS ingests encounter data from EHRs, clinical notes, procedures, and ancillary systems, creating a single source of truth for accurate charge reconciliation healthcare.
HealOS compares documented clinical services against captured charges to identify missing, delayed, or mismatched entries, eliminating manual audits in charge reconciliation healthcare.
HealOS uses AI to detect charge gaps, underbilling risks, and coding inconsistencies across departments, improving accuracy in charge reconciliation healthcare workflows.
HealOS flags charge discrepancies clearly and guides correction before billing submission, reducing downstream denials, rework, and delays in charge reconciliation healthcare.
HealOS continuously monitors charge workflows to prevent repeat leakage, strengthen revenue integrity, and improve long-term charge reconciliation healthcare performance.
HealOS applies machine learning to detect charge leakage patterns, reconciliation risks, and underbilling issues across healthcare operations, protecting revenue and improving charge reconciliation healthcare accuracy.

HealOS automatically matches documented clinical services to captured charges, ensuring completeness, accuracy, and consistency across charge reconciliation healthcare workflows.

HealOS reconciles data across EHRs, charge capture tools, and billing systems, creating a unified, accurate revenue view for effective charge reconciliation healthcare.

HealOS ensures reconciled charges flow directly into billing and claims workflows without delay, rework, or data loss in charge reconciliation healthcare operations.

From service delivery to claim submission, HealOS automates charge reconciliation healthcare across the entire revenue lifecycle, reducing manual effort and preventing revenue leakage.
Track real improvements in charge reconciliation healthcare with fewer missed charges and stronger revenue integrity.
Reconcile high-volume charges across departments and facilities.
Ensure every visit and procedure is fully billed.
Capture complex service-based charges accurately.
Prevent underbilling tied to specialty workflows.
Reconcile virtual care encounters with confidence.

Secure PHI handling without storage

Independently audited enterprise security
SSO and multi-factor access controls
HealOS delivers AI-powered charge reconciliation healthcare that ensures accuracy, completeness, and revenue integrity without increasing administrative burden.