Manual charge entry creates friction across the billing process. Teams are often searching documents, typing values, checking their own work, identifying exceptions, and trying to keep claims moving without sacrificing accuracy. Even small documentation changes, report format shifts, handwritten information, addendums, or payer-specific requirements can slow production and increase the risk of errors.
In this Office Hours episode, Jamie Campagna, Data Entry and Coding Manager for MedReceivables, an Infinx company, shares an operator’s view of what it takes to modernize charge capture workflows. The conversation will explore how AI-enabled document intelligence can extract charge data faster, route exceptions for review, and shift staff from manual entry to quality control and audit.
But this is not a “set it and forget it” automation story. Jamie will discuss why human oversight still matters, how teams build confidence through phased auditing, and why business rules are essential when handling complex items like addendums, CPTs, units, pathologists, diagnoses, demographics, insurance details, and system-specific billing requirements.
Attendees will hear how technology-enabled billing services can help accelerate claims, improve charge accuracy, reduce avoidable rework, and create cleaner workflows while still relying on experienced people to manage the nuance of revenue cycle operations.
Thursday, June 181 2026, 11:00 am PT / 1:00 pm CT / 2:00 pm ET
Learning Objectives
By the end of this session, attendees will be able to:
- Explain how AI-enabled charge capture can reduce manual data entry while shifting staff focus toward quality control, audit, and exception management.
- Identify common operational challenges in charge capture workflows, including document format changes, addendums, handwritten data, demographics, insurance mapping, and billing system requirements.
- Describe why a human-in-the-loop model is essential for cleaner claims, faster billing workflows, and stronger revenue cycle performance.