This startup develops a monitoring device that provides continuous, real-time feedback on CPAP mask application quality for infants. The device measures both airway support pressure and mask-skin contact pressure, helping healthcare providers optimize CPAP therapy for better infant breathing.
Funding
Funding not disclosed
Founders
Product
Problem
Premature infants often require Continuous Positive Airway Pressure (CPAP) therapy to support their breathing; however, effective CPAP delivery hinges on proper mask fit and consistent airway pressure. Masks applied too loosely can lead to oxygenation loss and potential brain injury, while overly tight masks can cause permanent facial scarring. Current methods for monitoring mask application quality are labor-intensive, increasing nursing workload and potentially delaying necessary adjustments.
Solution
Tasmanian Medical Innovations offers CPAP Buddy, a real-time monitoring system designed to enhance the safety and efficacy of CPAP therapy for preterm infants. This device continuously measures both airway support pressure and mask-skin contact pressure, providing immediate feedback on the quality of mask application. By detecting and providing early warnings of issues with mask application, CPAP Buddy enables healthcare providers to optimize CPAP therapy, reduce the risk of complications, and improve patient outcomes. The system aims to reduce the time nurses spend checking and maintaining the mask, allowing them to focus on other critical aspects of infant care.
Target Audience
The primary target audience includes neonatal nurses, neonatologists, and respiratory therapists working in neonatal intensive care units (NICUs) and other settings where preterm infants receive CPAP support.
Features
- Continuous monitoring of airway support pressure delivered via CPAP mask.
- Real-time measurement of mask-skin contact pressure to ensure optimal fit.
- Early warning system to alert nurses to potential issues with mask application.
- Facilitates timely adjustments to CPAP mask application, minimizing risks associated with improper fit.
- Aims to reduce nursing workload associated with manual mask monitoring.