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Physiology & Medicine / Why doesn't the medical profession make better use of the internet?
« on: 04/04/2013 20:01:19 »
There are quite a few "self diagnosis" sites (for want of a better description) and I think these are all very popular and quite useful. I have a feeling that GP's are not always of that opinion, however, as it can lead to surgeries getting populated by the "worried well" and, worse, people becoming sceptical about their GP's all knowing, God-like status - now, thankfully, largely gone.
This is not what I am referring to in the question however. It is just that the popularity of such sites means that people are willing to spend time discussing their ailments and learning about diagnoses and treatments. This is a huge and underused resource of knowledge that is not being utilised. Clinical investigations and trials are very expensive and often do not yield statistically adequate conclusions. It seems to me that there are a lot of medical issues, large and small, that could be aided by a few websites just asking people to contribute.
There are sites that already try to describe symptoms which may point to a particular ailment. But no use is made of whether or not the results were accurate. Indeed there is no way to report it. Statistics on the accuracy of prediction would seem to me to be valuable data and a good way to hone how to weight particular symptoms in pointing to specific ailments. The efficacy of drugs is another way to gain a much better statistical weight than some trials. Of course these do not replace trials, especially double blind trials, but the potential numbers can become very useful, especially in looking at possible side effects for example. Diagnosis can often, at least at first, be done by having a patient describe a pain; not just where the pain is but also whether it hurts when touched, when breathing or what sort of pain it is. The language for pain description is far from universal (I actually think descriptions of taste for wine tasting is better developed) and this could be made much better honed by questions and answers on the internet.
I won't go on but the gist of this is that this could be done at low cost and, with existing software used widely in market research, could be very well statistically analysed and results collated.
This is not what I am referring to in the question however. It is just that the popularity of such sites means that people are willing to spend time discussing their ailments and learning about diagnoses and treatments. This is a huge and underused resource of knowledge that is not being utilised. Clinical investigations and trials are very expensive and often do not yield statistically adequate conclusions. It seems to me that there are a lot of medical issues, large and small, that could be aided by a few websites just asking people to contribute.
There are sites that already try to describe symptoms which may point to a particular ailment. But no use is made of whether or not the results were accurate. Indeed there is no way to report it. Statistics on the accuracy of prediction would seem to me to be valuable data and a good way to hone how to weight particular symptoms in pointing to specific ailments. The efficacy of drugs is another way to gain a much better statistical weight than some trials. Of course these do not replace trials, especially double blind trials, but the potential numbers can become very useful, especially in looking at possible side effects for example. Diagnosis can often, at least at first, be done by having a patient describe a pain; not just where the pain is but also whether it hurts when touched, when breathing or what sort of pain it is. The language for pain description is far from universal (I actually think descriptions of taste for wine tasting is better developed) and this could be made much better honed by questions and answers on the internet.
I won't go on but the gist of this is that this could be done at low cost and, with existing software used widely in market research, could be very well statistically analysed and results collated.