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Development of Ventilator Data Management Application for Real-Time Clinical Decision Support
  1. case
  2. Development of Ventilator Data Management Application for Real-Time Clinical Decision Support

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Development of Ventilator Data Management Application for Real-Time Clinical Decision Support

inveritasoft.com
Medical
Information technology

Clinical Data Management Challenges in Critical Care

Medical professionals face significant difficulties in interpreting and acting upon complex, real-time ventilator data streams during critical patient care. Current systems lack intuitive interfaces for monitoring key parameters (oxygen levels, heart rate, PEEP/CPAP) and enabling timely adjustments, potentially compromising patient outcomes.

About the Client

A leading medical technology provider focused on enhancing critical care equipment interfaces through advanced data visualization and remote management solutions

Key Project Goals

  • Create an intuitive tablet interface for ventilator data visualization
  • Implement evidence-based parameter tracking and calculation tools
  • Enable remote ventilator setting adjustments
  • Improve clinical decision-making speed and accuracy

Core System Requirements

  • Dynamic real-time data visualization dashboards
  • Automated parameter calculation engine (oxygenation indices, respiratory mechanics)
  • Remote control interface for ventilator settings adjustment
  • Evidence-based clinical decision support algorithms
  • Critical parameter alert notification system

Technology Stack

React Native
C

System Integrations

  • Medical ventilator telemetry systems
  • Hospital electronic medical records (EMR)
  • Clinical alarm systems

Non-Functional Requirements

  • Sub-second data refresh rates for critical parameters
  • HIPAA-compliant data security framework
  • Multi-user concurrent access capability
  • High-availability architecture with failover
  • Touch-optimized UI for clinical environments

Expected Business Impact

Enables 30% faster clinical response times to ventilatory changes, reduces manual calculation errors by 75%, and improves patient safety through proactive parameter monitoring. Positions client as innovator in smart critical care solutions with potential for 40% market share growth in hospital ventilator interface systems.

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