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         ROBOTIC PROCESSING AUTOMATION | RPA       
        THE PAYERS' SECRET WEAPON     

Eligibility Verification 

 

RPA uses AI to deploy software "bots" to mimic human behavior across digital systems to perform eligibility verification and routine data entry tasks.​​

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RPA Wins at Scale, Not at Intelligence!

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Clinical Documentation Integrity (CDI) 

 

​RPA provides comprehensive documentation support.  It uses software robots, "Digital Workers," to automate repetitive, rule-based tasks across various  system applications (i.e., data entry, file organization, and report generation) ​​​

 

A  few Questions CFOs, Compliance, and Regulators should ask payers:​

 

  1. When was the last time your RPA system was audited?

  2. Is this Rule still valid?

  3. Is it possible that AI/RPA Drift is impacting this financial outcome?

  4. Who is held accountable when RPA gets it wrong?​

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AI Needs Assessment

 

RPA has the capability to assist humans-in-the-Loop (HITLs) with performing AI Needs Assessments for RCM.  

 

 Technically correct claims can fail on micro-errors:​​​

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  1. Auto-Pends

  2. Auto-Rejects

  3. Infinite Rework Loops 

  4. Documentation Requests that are designed to time out

Prior Authorization (PA)

RPA applies software bots, "digital workers," to automate the prior authorization process.  These AI Bots mimic human behavior; they log in to payer portals, extract patient data from electronic health records (EHRs), submit clinical documentation, and verify approval status:

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This can be a Lose-Lose for Providers

  1. Deploying End-to-End Automation

  2. Closed Loop Denial Engines

  3. Continuous Rule Updates

  4. Denial Increases

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RPA is a Very Powerful Automation Tool until it is Audited!

AI in Medical Coding 

RPA in medical coding uses software bots, "digital workers," to automate repetitive and rule-based tasks. It mimics human behavior across EHRs and billing systems.  These bots extract patient data from the EHR to assign, validate, and update ICD-10/CPT codes for medical claim submissions. ​

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RPA creates the illusion of objectivity and gives payers plausible deniability:

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  1. Standing behind the "the System Made the Decision."

Human In The Loop (HITL) Oversight 

Collaborating with RPA requires HITL oversight to monitor, validate, and manage the performance of AI models and their data outputs.

 

Even though AI (the "brain") mimics human behavior, and RPA (the "hands") mimics both AI and human behavior audit trails must be set up to ensure safety net defensibility, 

Charge Integrity

​RPA uses software bots ("Digital Workers") to audit, validate, and reconcile medical and billing data against clinical or contractual rules in real-time.

 

This automation is supposed to ensure charge integrity and accuracy:​

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It touches millions of claims a day without clear accountability structures: 

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  • The Payer's Secret Weapon is becoming a liability for providers and patients.

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Vendor Selection 

RPA combined with AI is also being used to optimize and support Revenue Cycle Management (RCM) vendor selection.  It analyzes vendor performance data and identifies automation gaps by capturing quality and compliance metrics.  â€‹â€‹

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BAAs and SLAs 

Did you know that most BAAs and SLAs are considered legally "compliant" but operationally useless.  

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If AI touches PHI, documentation, coding, billing, utilization and audits, both contracts need measurable AI quality + compliance controls.  

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RPA can help us to automate BAA & SLA document reviews, track performance metrics, and manage quality and compliance workflows.  

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