BOT Eligibility Verification: Automated Insurance Checks

The Situation

At a well-established medical practice, automated insurance eligibility verification was nonexistent — staff were manually logging into multiple portals every morning to check coverage for the day’s patients. Each morning, billing staff logged into Availity and numerous payer-specific portals to check coverage status for scheduled patients, manually cross-referencing data and entering results into the billing system by hand.

The process was slow, repetitive, and error-prone. Copay and deductible amounts were frequently entered incorrectly, leading to patient confusion at check-in, billing disputes after appointments, and downstream claim denials when the collected amounts didn’t match what the payer expected. The practice knew it had a problem but hadn’t identified a scalable solution.

Core Challenges

Staff were spending hours each day logging into separate payer portals, manually verifying coverage, and entering information into the billing system. Errors in copay and deductible amounts were common, creating patient conflicts at the front desk and contributing to downstream denials.

• Manual, multi-portal verification was not scalable as patient volume grew.
• Human entry errors in copay and deductible data created billing disputes and patient dissatisfaction.
• No proactive alert system meant discrepancies were discovered at check-in — the worst possible time to resolve them.
• Staff time spent on eligibility pulled resources away from higher-value revenue cycle functions.

The RekhaTech Solution

RekhaTech began with a thorough workflow assessment — mapping exactly how verification was being done, where errors were occurring, and which payer portals represented the highest volume. That analysis directly informed the design of the automation solution.

Custom Eligibility Verification BOT
RekhaTech built a BOT that connected securely into major insurance portals, including Availity, replicating the navigation a human staff member would perform but executing it automatically and simultaneously across all scheduled patients. The BOT retrieved coverage status, copay amounts, deductible balances, and plan-specific benefit details in real time.

Automated Data Entry
Verified information was written directly into the practice’s billing system — eliminating the manual transcription step where most errors originated.

Proactive Discrepancy Alerts
When the BOT identified coverage gaps, inactive policies, or inconsistencies in benefit data, it generated an immediate alert to the appropriate staff member. Staff received specific, actionable flags — not a list of every patient, just the ones requiring human attention.

Parallel Processing at Scale
Unlike a human verifier who checks one patient at a time, the BOT verified the entire next-day schedule simultaneously — a capability no staffing model can replicate.

Results

The practice saw immediate improvements in both operational efficiency and patient experience.

• Hundreds of staff hours recovered each month — time previously spent on portal navigation was redirected to AR follow-up, patient communication, and other revenue-generating activities.
• Significant reduction in copay and deductible errors — automated retrieval eliminated the transcription step where most mistakes occurred.
• Discrepancies resolved before appointments — the proactive alert system meant patients with coverage issues were contacted before they arrived, not when they were standing at the front desk.
• Higher patient satisfaction — patients received accurate financial estimates in advance, reducing billing surprises and building trust in the practice’s administrative competence.
• Improved overall revenue cycle performance — fewer eligibility-related denials and faster collections across the billing cycle.