Hello Scyzork. thanks for asking, I'm still working out how to tell this story succinctly.
Here's today's effort:
Historically clinicians have had to work with blood pressure and heart rate as the key observable values they had to estimate oxygen perfusion to the tissues.
Newer technologies allow you to also measure the volume of blood ejected from the heart with each beat. With this additional information, you can infer how the work of the heart, and how the constriction of the vasculature around the volume of the blood in the circulatory system are each contributing to maintaining blood pressure. Clinicians understand that this is how blood pressure works, but our users are telling us that once they see the information plotted on a 2d field in our software, that something clicks that hadn't clicked before, and they are able to maintain patient's blood pressure more precisely within the 'normal' zone unique to that patient, and they are telling us they won't do major surgery without our software now. Interestingly we also been told that it's shifted some clinician's 'intuition', that they are administering less fluid and giving more vasopressors than before, or as it was said to me "less fill 'em, more squeeze 'em". Anecdotally they believe their patients are recovering faster, and that they can now operate on people they would previously categorized as too high risk. This is what they're telling us, it'll take some serious work to be able to confirm or reject this as objective fact.
My observation of the operating theatre is - I expected it to be like mission control, but it's more like a busy cafe where two people just rang in sick and someone wanted a soy latte but they think this might be almond milk.
The people in the theatre are smart, but they are very busy. Other people have tried to do what we are doing and not gained enough traction, I think it's because their interface was too complex for that environment, they were displaying too much, they hadn't distilled it down to the physiologically relevant actionable information. I think our software's working because because the physiological model underlying the displays is right, but also because we've stuck to a philosophy that it has to be simpler to use than a coffee machine, so that people have the headspace to be able to use it when they are busy and under pressure.