we are currently working with hip and knee replacement, and that s partly because it is a very common operation. most patients do not require intensive care facilities when they are having an operation but some do, and it is important to work out which patients require which hospitals when they have their surgery, and what we are working with, with this machine learning algorithm, is to try and improve that prediction. with over six million people waiting in the uk waiting for routine hospital treatment, hospital waiting lists have become a massive issue, putting increasing strain on the system. hospital trusts are exploring and experimenting with things like this al, to try and tackle the problem, but with wider concerns about artificial intelligence and data privacy, are these technologies a good fit with healthcare? the bma has been concerned for a while about the use of data, particularly
cutting waiting lists is one of a growing list of priorities for the health service. we are currently working with hip and knee replacement, and that s partly because it s a very common operation. most patients don t require intensive care facilities when they re having an operation, but some do, and it s important to work out which patients require which hospital when they have their surgery. and what we are working with with this machine learning algorithm is to try and improve that prediction. but with wider concerns about artificial intelligence and data privacy, are these technologies a good fit with healthcare? the bma has been concerned for a while about the use of data, particularly patient identifiable data, being sold to third parties for profit making reasons. it s there is a tension in the system because you need to make sure that the different systems that you have got can intra operate, so that one app
the best site for them to have their surgery. staff shortages and ongoing fallout from the covid 19 pandemic have placed immense pressure on the nhs. cutting waiting lists is one of a growing list of priorities for the health service. we are currently working with hip and knee replacement, and that s partly because it s a very common operation. most patients don t require intensive care facilities when they when they re having an operation, but some do, and it s important to work out which patients require which hospital when they have their surgery. and what we re working with with this machine learning algorithm is to try and improve that prediction. but with wider concerns about artificial intelligence and data privacy, are these technologies a good fit with healthcare? the bma has been concerned for a while about the use of data, particularly patient identifiable data, being sold to third parties for profit making reasons. it s there is a tension in the system because you need
what we are doing with the system is using artificial intelligence or machine learning to try and predict the outcome of surgery for patients, so essentially trying to predict what complications they may have and also to try and work out potentially the best site for them to have their surgery. staff shortages and ongoing fallout from the covid 19 pandemic have placed immense pressure on the nhs. cutting waiting lists is one of a growing list of priorities for the health service. we are currently working with hip and knee replacement, and that s partly because it is a very common operation. most patients do not require intensive care facilities when they are having an operation but some do, and it is important to work out which patients require which hospitals when they have their surgery, and what we are working with, with this machine learning
they may have and also to try and work out potentially the best site for them to have their surgery. staff shortages and ongoing fallout from the covid 19 pandemic have placed immense pressure on the nhs. cutting waiting lists is one of a growing list of priorities for the health service. we are currently working with hip and knee replacement, and that s partly because it s a very common operation. most patients don t require intensive care facilities when they when they re having an operation, but some do, and it s important to work out which patients require which hospital when they have their surgery. and what we re working with with this machine learning algorithm is to try and improve that prediction. but with wider concerns about artificial intelligence and data privacy, are these technologies a good fit with healthcare? the bma has been concerned for a while about the use of data, particularly patient identifiable data, being sold to third parties