I know a few doctors in the UK and they don't understand two things: - they are a reasonably efficient expert system - large scale data mining can find patter

I know a few doctors in the UK and they don't understand two things: - they are a reasonably efficient expert system - large scale data mining can find patterns of behaviour and disease that are impossible to find any other way. Point one can partly be explained by the fact that as a society we rightly respect doctors and as humans over the years they take it to heart that they really are quite special. They also rightly diagnose hundreds of common illnesses a week which boosts their ego. Point two is a common problem for people outside of the tech world. Doctors are used to small studies growing to large studies about a specific illness. They do use meta studies and use large scale statistics to medicate (everyone over 60 gets cholesterol medication etc) but that is the exception. They don't understand that an abstract statistical analysis of patient records could deliver gold. So when asked to codify patients notes (something they have to do in the NHS using a ridiculous DOS based app, with over the top word templates for paper forms) they resent it. They don't feel the advantage of this. When the system controls their flow they feel like they are robots and that this gets in the way of their treatment of the patient. It pains me to have to explain to them that they are, for the vast majority of patient interactions, meat robots. For 99% of their interactions they are slower and less accurate than an expert system (although of course the doctors I know have a more pleasing interface than a robot). They can't see that if the burden of the 99% was lifted they could genuinely help their patients by having more time. Instead they insist awareness campaigns are the way to go: "If less people came in to the surgery with a cold we could DOUBLE the time they spent with patients"