Mechanical ventilation is a “bread and butter” therapy in critical care. It is well known that a properly or well ventilated patient has an increased likelihood of improved outcome.

However, selecting optimal settings, such as PEEP and tidal volume are difficult. Especially, as these settings can change regularly as patient condition evolves, particularly in ARDS. Hence, a method of monitoring and capturing these changes and then optimising ventilation would offer significant clinical benefit.

Models offer the opportunity to both monitor and optimise ventilated patient status for better outcomes.