Quill Bills | Run your billing autonomously.

What

Quill Bills is an autonomous medical billing and revenue cycle management product for healthcare practices, especially independent practices based on the site’s messaging. It is designed to move billing work from intake through claim submission, payment posting, and patient billing with heavy automation and limited manual intervention.

The core workflow starts with ingesting documents or syncing EHR data, processing encounters and insurance details, assigning CPT and ICD-10 codes from documentation, verifying eligibility, scrubbing claims, and submitting clean claims while routing exceptions for review. Quill Bills appears positioned as either a modular billing automation stack or a fuller outsourced-style RCM operating layer, depending on what a practice needs.

Features

• Data ingestion from documents or EHR systems — Practices can upload schedules, face sheets, insurance cards, superbills, and progress notes, or use EHR syncing to reduce manual intake work.
• Automated encounter and insurance data processing — The system extracts demographics, encounters, and insurance plan information to prepare claims faster and with less manual data entry.
• Auto-coding from clinical and billing documents — Quill Bills reads superbills and progress notes and assigns CPT and ICD-10 codes, helping convert documentation into billable claims.
• Eligibility verification with multiple methods — Coverage checks can be done electronically, through payer portals, or through an AI phone agent fallback when automated routes are insufficient.
• Claim scrubbing before submission — Claims are checked for payer rules, coding errors, missing information, and duplicates so more claims can be submitted in a clean state.
• Automated payment posting and patient billing — EOBs and ERAs are parsed and matched to service lines automatically, and patient statements can be sent by SMS, email, or mail after insurance adjudication.

Helpful Tips

• Validate exception handling carefully — For billing automation products, the practical difference often comes from how clearly the system flags edge cases and how efficiently staff can resolve them.
• Assess document quality and source consistency — Auto-coding and claim creation depend heavily on the structure and quality of superbills, notes, insurance cards, and EHR data.
• Map the full revenue cycle before rollout — Practices should review how eligibility, coding, submission, posting, and patient collections currently work so automation is introduced without breaking handoffs.
• Confirm specialty and payer fit — The page describes broad billing automation, but it does not specify specialty coverage depth or payer-specific nuances, so those should be verified directly.
• Review operational oversight needs — Even when automation is strong, teams still need controls for denials, auditability, and human review queues, especially in clinical billing environments.