AI-powered referral and bed optimization system streamlining patient intake, eligibility screening, and real-time bed tracking for faster and accurate placement.

About Perimeter Healthcare

Web App

Perimeter Healthcare is a US-based behavioral healthcare organization specializing in residential treatment programs for youth and adolescents. The company operates multiple facilities focused on mental health, psychiatric care, and specialized behavioral services. They work closely with referral partners, clinical teams, and families to provide structured treatment environments. With a growing network of facilities, Perimeter Healthcare emphasizes improving patient outcomes, operational efficiency, and care coordination. Their leadership team includes experienced healthcare professionals driving scalable and data-informed care delivery.

Type of Software

AI-Powered Healthcare Referral Management & Bed Optimization Platform

Headquarters

Alpharetta, Georgia, United States

Industry

Healthcare | Behavioral Health | Residential Treatment

Company Size

201 - 500

Project Scope

The project involved designing and developing an end-to-end referral management and bed optimization system to streamline intake, eligibility screening, and admission workflows. The solution automated data extraction from referral documents, applied rule-based eligibility screening, and enabled human-in-the-loop decision-making for complex cases. A real-time data pipeline was implemented to track bed availability and projected discharges. The system also introduced intelligent facility matching and automated waitlist management. The overall goal was to reduce processing time, improve placement accuracy, and optimize facility utilization.

Services We Delivered

Custom Software Development

Built a scalable referral and bed optimization platform

Workflow Automation

Automated intake, screening, and decision processes

AI & Data Processing

Enabled document extraction and intelligent insights

System Integration

Connected with external healthcare data systems

Challenges

  • Fragmented referral intake workflows
  • Incomplete and inconsistent referral data
  • Lack of standardized eligibility decisions
  • Limited real-time bed visibility
  • Inefficient waitlist prioritization system

Solutions

  • Automated referral intake and data extraction
  • Intelligent missing data validation engine
  • Rule-based stoplight eligibility system
  • Real-time bed and discharge pipeline
  • Automated waitlist tracking and prioritization

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