Propofol Dreams
Precision TIVA.
Minimal Waste.
Free Forever.
A simple app designed to help anaesthetists improve precision and reduce waste during TIVA
Propofol is one of the most commonly wasted drugs in the operating room.
Up to 50% of the propofol drawn up is actually unused and discarded. This poses a significant environmental problem as propofol is toxic to the aquatic environment, bioaccumulates up the food chain and does not degrade readily in nature.
Propofol Dreams can help reduce your propofol wastage.
Propofol Dreams empowers anaesthetists and reduces unnecessary drawing up of propofol by estimating the volume required for a given case.
Volume Mode
Volume Mode estimates the volume of propofol required for a given case based on the TCI model, patient parameters and the estimated duration of surgery. This guides the volume of propofol one should draw up at the beginning of a case.
EleMarsh Mode
EleMarsh Mode improves the precision of the Marsh TCI model by replicating the infusion behaviour of the Eleveld model. This is achieved through adjusting the input weight using our novel algorithm. Click here for more info.
Wake Up Estimation
How do you time cessation of propofol TCI towards the end of surgery to ensure smooth and timely emergence? Our novel wake up algorithm can help you predict the Cp at which your patient will emerge from general anaesthesia. Click here for more info.
Let’s improve together!
We are extremely passionate about improving TIVA as well as environmental sustainability and we hope to empower anaesthetists in the fight against climate change through technology.
If you have any ideas or suggestions to make Propofol Dreams better, please email george@propofoldreams.org.
Thank you and happy Propofol Dreaming!
Important Note: Propofol Dreams is designed for the purposes of education and environmental sustainability only. While we all algorithms in Propofol Dreams are open source and published in international peer-reviewed journals, results should never be used in place of sound clinical judgment.