Cases

Infusion Therapy Intake Reinvented with AI

Top infusion clinics healthcare provider reduced intake errors by 60% and saved $600K annually with the AI-powered Virtual Infusion Guide (VIG).

Infusion Therapy Intake Reinvented with AI
Infusion Therapy Intake Reinvented with AI
 

With Forte’s AI-powered Virtual Infusion Guide, the provider’s promise of “modern infusion centers and virtual care” became real,  automating intake, scaling capacity, and delivering therapy on patient schedules.

 

60% decrease in intake errors$600K annual savings in compliance and rework costs, freeing staff capacity for patient care.

 

Business Context

Manual intake processes created inefficiencies and operational bottlenecks that impacted scalability and patient satisfaction:

  • Time-Consuming: Staff spent excessive hours collecting and entering patient data.
  • Error-Prone: Manual entry led to inaccuracies and compliance risks.
  • High Costs: Significant clerical resources required to manage intake.
  • Patient Frustration: Long intake times and redundant data requests.
  • Limited Scalability: Growing patient volumes strained workflows.

Solution

Forte Group developed the Virtual Infusion Guide (VIG) system iteratively, combining AI, structured knowledge bases, and human expertise to maximize efficiency while ensuring compliance.

Key components included:

  • Rx Analysis Automation: AI-powered extraction and validation of prescription details.
  • Knowledge Base Development: Centralized repository linking drug and insurer-specific requirements.
  • Conversational Assistance: AI chatbot delivering real-time Guide support.
  • Feedback & Refinement: Continuous learning loop from human input to improve accuracy.
  • Integration with LISA: Enhancements to the insurance interaction phone bot.
  • Patient Insights Platform: Data-driven analytics to inform clinical and operational improvements.


Results & Value Delivered

  • Increased prescriptions processed per Guide per day
  • 60% reduction in intake errors$600K annual savings
  • Supported expansion without linear cost increases
  • Strengthened competitive advantage by leveraging AI-powered decision support to enhance patient care
  • Enabled data-driven collaborations with pharma for research and development
  • Improved patient satisfaction by reducind onboarding time and redundant data requests


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