Post-acute care facilities working with SYResp faced fragmented respiratory care delivery, with staffing, equipment procurement, and diagnostics managed through disconnected processes. This resulted in treatment delays, higher administrative workload, and increased hospital readmissions.

smartData built a unified, workflow-driven respiratory care platform that integrates therapist staffing, equipment ordering, and diagnostic coordination into a single system. Facilities can schedule therapists on demand, procure ventilators and PAP devices, and manage diagnostics such as PFTs, spirometry, and sleep studies through a centralized interface. Real-time tracking and reporting replaced manual workflows and vendor dependencies.

The platform improved operational efficiency, reduced turnaround times, and enabled faster, more coordinated care delivery—helping facilities lower readmissions and improve patient outcomes.

Features

• On-Demand Therapist Staffing: Schedule qualified respiratory therapists quickly for continuous care
• Equipment Ordering & Rentals: Centralized procurement of ventilators, PAP devices, and supplies
• Diagnostic Coordination: Manage PFTs, spirometry, and sleep studies with faster turnaround
• Unified Dashboard: Real-time tracking of staffing, equipment, and diagnostics
• Workflow Automation & Reporting: Automated operations with actionable insights

Technical Challenges

• Integrating fragmented workflows across staffing, equipment, and diagnostics without creating data silos : Solution -> Designed a microservices-based architecture with unified APIs to centralize workflows and enable seamless data exchange
• Providing real-time visibility across multiple facilities and services : Solution -> Implemented event-driven architecture with live synchronization and a centralized dashboard for real-time tracking
• Ensuring HIPAA-compliant handling of sensitive patient and operational data : Solution -> Applied role-based access control, encryption, and audit logging for secure and compliant data management