Two things which look like obstacles to acceptance.
1) don't call it AI. What people understand by "tracking my uber driver" is that they know where their uber driver is. What people understand by AI is that it makes stuff up, draws 6 fingers, gets stuff wrong and it's a black box so they will never know what it got wrong or why.
2) I feel that there's a huge resistance to getting NHS data into the hands of "private companies". If the one set up by doctors or spun off from a university department is OK (but how would people know that it was), the assumption would be that it would get bought out by a predatory US company which would exploit the data for profit against people's best interest. History is not on the side of public trust here.
We got back at 7:00 last night after going to the local hospital for a 3:30 appointment, a consultation that took 10 mins and an hour trying to get a prescription from doctor to pharmacist- eventually delivered on paper by my wife, after the electronic one was abandoned.
Everyone involved was lovely and helpful - but the admin! As an ex-computer programmer, I am appalled at how poor it is.
The NHS is not alone in this, but it means that recent small crisis in my wife’s health involves us doing our own record-keeping, cultivating contacts inside the system, policing the drugs and hunting down lab reports and treatment records.
The AI app or assistant in development to aid clinicians sounds very interesting and exactly something that would benefit the NHS and clinical staff.
Currently for example out patient clinics are setup on clinical systems with unrealistic time slots, which means clinics always run late. Within that patient slot a clinician is supposed to summarise the persons consultation and add notes to their record (usually using a digital dictation system). Using AI to do that part of the job sounds like a great idea, and one that could ensure potentially that more patients are seen on time.
Companies like Bighand and Scribetech which specialise in digital dictation systems, and already have a powerful cloud based speech recognition systems would likely be happy to licence their ideas out I’m sure.
Two things which look like obstacles to acceptance.
1) don't call it AI. What people understand by "tracking my uber driver" is that they know where their uber driver is. What people understand by AI is that it makes stuff up, draws 6 fingers, gets stuff wrong and it's a black box so they will never know what it got wrong or why.
2) I feel that there's a huge resistance to getting NHS data into the hands of "private companies". If the one set up by doctors or spun off from a university department is OK (but how would people know that it was), the assumption would be that it would get bought out by a predatory US company which would exploit the data for profit against people's best interest. History is not on the side of public trust here.
That's where lab has to knock heads together and say we are doing this. Google will do it better.
We got back at 7:00 last night after going to the local hospital for a 3:30 appointment, a consultation that took 10 mins and an hour trying to get a prescription from doctor to pharmacist- eventually delivered on paper by my wife, after the electronic one was abandoned.
Everyone involved was lovely and helpful - but the admin! As an ex-computer programmer, I am appalled at how poor it is.
The NHS is not alone in this, but it means that recent small crisis in my wife’s health involves us doing our own record-keeping, cultivating contacts inside the system, policing the drugs and hunting down lab reports and treatment records.
A decent IT system must be a priority.
Excellent read.
The AI app or assistant in development to aid clinicians sounds very interesting and exactly something that would benefit the NHS and clinical staff.
Currently for example out patient clinics are setup on clinical systems with unrealistic time slots, which means clinics always run late. Within that patient slot a clinician is supposed to summarise the persons consultation and add notes to their record (usually using a digital dictation system). Using AI to do that part of the job sounds like a great idea, and one that could ensure potentially that more patients are seen on time.
Companies like Bighand and Scribetech which specialise in digital dictation systems, and already have a powerful cloud based speech recognition systems would likely be happy to licence their ideas out I’m sure.
Nope.