You will get Medical Billing AR Cleanup and Claim Denial Resolution


Project details
Are unworked claim denials and aging Accounts Receivable (AR) draining your medical practice's cash flow?
I provide dedicated Revenue Cycle Management (RCM) and AR cleanup to recover your lost revenue. I will systematically investigate your 60/90/120+ day aging reports, identify the root causes of claim rejections, call insurance payers for status updates, correct coding errors, and submit aggressive appeals.
Let a HIPAA-compliant expert clean up your billing backlog, lower your AR days, and get you paid faster so you can focus entirely on patient care.
I provide dedicated Revenue Cycle Management (RCM) and AR cleanup to recover your lost revenue. I will systematically investigate your 60/90/120+ day aging reports, identify the root causes of claim rejections, call insurance payers for status updates, correct coding errors, and submit aggressive appeals.
Let a HIPAA-compliant expert clean up your billing backlog, lower your AR days, and get you paid faster so you can focus entirely on patient care.
Data Entry Type
Document ConversionWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 14 days |
Formatting & Clean Up | - | - | - |
Graph & Table Creation | - | - | - |
About Abhishek
ERP/CRM Software | Revenue Cycle Management, Medical Billing
Mumbai, India - 4:54 am local time
Steps for completing your project
After purchasing the project, send requirements so Abhishek can start the project.
Delivery time starts when Abhishek receives requirements from you.
Abhishek works on your project following the steps below.
Revisions may occur after the delivery date.
Onboarding & System Verification
I will securely log into your EHR/EMR and clearinghouse, verify all access credentials, and pull the specific AR aging report we agreed to target for cleanup.
Denial Analysis & Root-Cause Investigation
I will review the denied or unpaid claims to identify the exact rejection codes, such as missing modifiers, eligibility issues, or coding errors.