Get Started

Case Study

Long Term Care Referral Automation

A secure, 24/7 AI agent workflow that never misses a referral window, even after hours

The Problem

A large long-term care and rehabilitation facility was struggling to manage new patient referrals efficiently. Referrals arrived through a secure health portal shared with regional hospitals. Once notified, staff had a one-hour exclusive window to log in, review the patient’s medical records, and accept the referral before it was released to competing facilities.

For HIPAA and data access compliance, all referral actions, including login, download, review, and acceptance, had to happen onsite. That meant any after-hours or weekend referral required a staff member to physically return to the facility to complete the process.

As a result:

  • Many referrals missed the one-hour window
  • New patient admissions were delayed or lost to competitors
  • Staff burnout increased from after-hours call-ins
  • Revenue from unclaimed admissions declined

The facility needed a secure, compliant, and autonomous way to handle referrals, one that did not depend on someone being in the building to click Accept.

The Solution: AI-Driven End-to-End Referral Automation

Naviquis implemented an AI agent-powered workflow that turned the referral process into a fully autonomous sequence, removing manual intervention while keeping compliance and control intact.

Intelligent email monitoring

When a referral email arrived, an AI agent extracted the key information, including patient details, referral ID, and hospital source, to trigger the process instantly.

Portal login and data capture

The AI agent logged securely into the hospital’s health portal, capturing and encrypting the patient’s medical records as online documents.

Automated review logic

The AI agent evaluated the referral against predefined medical and business rules. If all acceptance criteria were met, the agent completed the acceptance transaction in the portal automatically, within minutes of receipt.

Human-in-the-loop exception handling

If the referral needed manual review, such as a complex medical history or missing data, the system generated a workflow task and alerted the designated reviewer. Staff could securely access the document online from any location, review it, and click Accept. The agent then logged into the portal and finalized the acceptance automatically.

Continuous compliance and audit trail

Every action, from extraction and login to record capture and decision, was timestamped and stored in an auditable log for HIPAA compliance.

The Impact

The automation achieved what manual workflows could not: a secure, 24/7, end-to-end referral pipeline that never missed a patient opportunity.

Operational benefits

  • 100% referral coverage, even after hours
  • Response time cut from hours to minutes
  • Zero compliance violations
  • No after-hours site visits for staff, which sharply improved work-life balance

Revenue

  • Increased patient admissions by capturing referrals that were previously lost
  • Higher referral partner satisfaction from faster response times

Compliance and scale

  • Consistent process compliance with HIPAA and internal policies
  • Scalable automation framework ready for future use cases

Ready to never miss a referral window again?

Connect with our team to discuss how Naviquis can build a secure, autonomous AI agent workflow for your referral and admissions process.

Share This Case Study

Ready to Get Similar Results?

Let us show you how Naviquis can sharpen your operations.

Talk to Our Team

Your Next Move

Ready to Achieve Results Like These?

Our AI automation experts are ready to help you identify high-impact opportunities and implement intelligent solutions that drive measurable results.