RPA Billing Automation

Deploy smart software bots to eliminate manual data entry and prior authorization lag.

Engineering Approach

Medical billing and prior authorizations require thousands of hours of repetitive manual data entry across dozens of disconnected payer portals. Our Robotic Process Automation (RPA) engineers build resilient, computer-vision-powered bots that log into payer portals, scrape claim statuses, and automatically reconcile EOBs directly in your database. The average medical billing specialist spends 4-6 hours per day logging into Availity, Change Healthcare, and individual payer portals to check claim statuses, download EOBs, and track prior authorization approvals. For a billing department processing 500+ claims per week, this represents 20-30 hours of pure manual data entry that produces no clinical or operational value. The work is tedious, error-prone, and impossible to scale — you can't hire your way out of this problem, because adding more billing staff just adds more labor cost. RPA inverts this model entirely. We build headless browser automation scripts using Playwright or Puppeteer that programmatically log into payer portals, navigate to the exact screens your billing staff would visit, extract claim status data, and write it directly back to your Practice Management system or data warehouse. These bots run 24/7 on cloud infrastructure, processing claims overnight so your billing team wakes up to fully updated claim queues. For prior authorizations, RPA bots monitor payer portals for status changes and send Slack or email alerts the moment an auth is approved or denied, eliminating the 2-3 day lag that typically exists between payer decision and staff awareness. The result is faster cash collection, fewer claim denials due to missed follow-up, and billing staff who can focus on complex denial appeals instead of manual data entry.

Core Benefits

Eliminate Manual Entry
Faster Prior Auths
24/7 Claim Scrubbing

Technical Capabilities

  • Automated Payer Portal Scraping
  • Digital EOB Parsing & Reconciliation
  • Prior Authorization Status Tracking
  • Resilient Computer-Vision Selectors

Our Methodology

Our RPA development process begins with a billing workflow audit: we observe your billing staff logging into payer portals, document every click and form field, and map the data flow from portal to your PM system. We then build a Playwright or Puppeteer script that replicates this workflow programmatically. The bot launches a headless Chromium browser, navigates to the payer login page, enters credentials stored in AWS Secrets Manager, and scrapes the target data using resilient CSS selectors. Because payer portals frequently change their HTML structure, we implement computer-vision fallback logic that uses screenshot diffing and OCR to locate buttons and fields even when CSS selectors break. Each bot run is logged with full request/response data and screenshots for audit compliance. Failed runs trigger PagerDuty alerts so we can patch the bot before it affects your billing operations. The scraped data is normalized into a structured format (JSON or CSV), then pushed to your PM system via API or direct database insert. For prior authorizations, we implement polling logic that checks payer portals every 4 hours and sends real-time notifications via Slack, email, or SMS when status changes occur. The entire RPA infrastructure runs on AWS Lambda or Google Cloud Run with scheduled CloudWatch or Cloud Scheduler triggers, ensuring bots execute reliably without manual intervention. We provide 90 days of proactive monitoring post-deployment, patching bots as payer portals evolve, and most clients retain us on a monthly support contract for ongoing maintenance.

Technology Stack

Playwright / Puppeteer

Headless browser automation for web scraping

Python / Node.js

Bot scripting and data processing logic

AWS Lambda / Google Cloud Functions

Serverless compute for scheduled bot runs

AWS Secrets Manager

Secure storage for payer portal credentials

Tesseract OCR

Optical character recognition for resilient data extraction

PostgreSQL / S3

Storage for scraped claim data and audit logs

Slack API / Twilio

Real-time alerts for prior auth status changes

Real-World Example

A 40-provider orthopedic practice was spending 25 hours per week manually checking prior authorization status across 8 different payer portals. Staff would log in, search by patient name, copy the approval status into a spreadsheet, then update the PM system. The lag between payer approval and staff awareness averaged 48 hours, delaying procedure scheduling. We built a Playwright-based RPA bot that logs into all 8 portals every 6 hours, scrapes prior auth status for all open requests, and writes the results directly to their Athenahealth PM system via API. When an auth is approved or denied, the bot sends a Slack message to the scheduling team with the patient name and next action. The practice now processes prior auths with zero manual portal logins, and average approval-to-scheduling time dropped from 48 hours to 4 hours. The billing director estimates this saves 100+ staff hours per month, equivalent to $4,000 in labor cost.

Frequently Asked Questions

Common questions about rpa billing automation

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