BOT Authorization & Referral: 35% Staff Efficiency Gain

The Situation

Prior authorization automation was the missing piece at a busy medical practice where staff were spending hours each day manually managing authorizations and referrals. Each authorization required identifying whether approval was needed, pulling clinical information, submitting to the correct payer portal, and following up until a decision was issued. For referrals, the workflow involved tracking requirements, routing to the correct specialist, confirming receipt, and updating the patient record.

Done manually across dozens of patients per week, this work consumed hours of staff time daily — time that wasn’t generating revenue and wasn’t improving patient care. More critically, when authorizations were missed or submitted late, the consequences were direct: delayed treatments, claim denials, and the additional labor cost of appeals and resubmissions.

Core Challenges

• Manual identification burden — Staff had to manually review each patient’s insurance plan to determine whether an authorization or referral was required, a repetitive process prone to misses.
• Treatment delays — When authorizations weren’t submitted proactively, patients experienced delays waiting for approvals that should have been in place before their appointments.
• Rising operational cost — The labor required for manual authorization tracking diverted staff from patient-facing work and created consistent overtime pressure.
• Claim denials from authorization gaps — Incorrect or late authorizations were a leading cause of claim denials, triggering appeals that compounded the workload without recovering all the lost revenue.

The RekhaTech Solution

RekhaTech built and deployed a custom BOT for authorization and referral management — a robotic process automation (RPA) solution that integrated directly with the practice’s EHR and billing systems to handle the identification, submission, and monitoring of authorization and referral requirements automatically.

Automated Identification
The BOT scanned scheduled appointments against insurance plan requirements in real time, flagging every case that required an authorization or referral before the appointment date — proactively, not reactively.

Automated Request Submission
Once a requirement was identified, the BOT automatically submitted the authorization or referral request through the appropriate payer portal, with the correct clinical information pulled from the patient’s record.

Exception Handling with Staff Alerts
When the BOT encountered missing data, inconsistencies, or cases requiring human judgment, it flagged the specific case and alerted the responsible staff member — so staff focused only on exceptions, not on routine processing.

Continuous Learning
The BOT’s workflows improved over time as it processed more cases, increasing accuracy and reducing the exception rate with each billing cycle.

Results

The impact was measurable within the first full month of operation.

• 35% increase in individual staff productivity — time reclaimed from manual authorization work and redirected to patient-facing and higher-value billing functions.
• Significantly fewer missed or incorrect authorizations — BOT-driven accuracy consistently outperformed manual processing.
• Faster treatment timelines for patients — approvals in place before appointments, not after.
• Improved revenue cycle — fewer denials from authorization gaps, steadier cash flow across billing cycles.

Staff who previously spent hours each day on authorization and referral queues were redirected to patient-facing work and higher-value billing functions. The BOT handled the routine; staff handled the edge cases.