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IV Therapy Platform for Registered Nurse (RN) in United States

Product Summary

Patients seeking on-demand IV therapy services often experience delays in treatment approval, limited communication visibility, and fragmented coordination between providers, nurses, and support teams. The client required enhancements to streamline patient intake, automate operational workflows, and improve real-time communication across all stakeholders.
 

smartData enhanced the existing Day & Night IV platform by optimizing patient, nurse, NP/PA, and support portals with automated notifications, improved treatment workflows, AI-assisted intake and dispatch capabilities, and upgraded UX for scheduling, approvals, and inventory management. The solution introduces structured medical history reuse, guest checkout options, intelligent nurse assignment tracking, and an AI call agent to assist with reservations and patient screening.
 

As a result, the platform improves operational efficiency, reduces response times, enhances patient engagement through proactive communication, and establishes a scalable foundation for future AI-driven treatment personalization and automated care coordination.

Features

  • Automated Patient Notifications : Real-time SMS updates for treatment review, approval, nurse dispatch, reminders, and status tracking.
  • Enhanced Patient & Nurse Portals : ASAP scheduling window, manual nurse ETA entry, guest checkout, and multi-patient treatment purchasing.
  • Smart Case Workflow Management : Automated escalation, acceptance validation, and timed alerts for nurses and NP/PA reviews.
  • AI Call & Dispatch Assistant : AI agent for treatment booking, intake filtering, payment link generation, and intelligent nurse assignment.
  • Operational & Inventory Optimization : Streamlined medication inventory management, appointment tracking, and improved tipping/payment UX.
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Technical Challenges

  • Real-time nurse dispatch and status tracking required accurate updates without overwhelming system performance. : Implemented event-driven architecture with background job queues and optimized notification services for scalable real-time updates.
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