I hope they don't try to reinvent the wheel in some areas (sounds like it from the post). It would probably be a good idea to benchmark how hard it is to set up a functioning and operational GNU Health system in community X for example.
There's a lot of potential for replacing nothing/no doctors with machine learning, especially in developing countries. Especially in areas where mobile phones are spread I can think of a couple of use cases. Take a picture of your swelling/strange looking skin/whatever and have a classifier tell you what it could be. Last time I checked the algorithms actually beat expert panels (for skin cancer). Could probably be coupled with a "doctor as a service" system that optimizes routes based on this sort of data.
The more I think about it the more I should catapult working in this area up my job application list :)
I hope they don't try to reinvent the wheel in some areas (sounds like it from the post). It would probably be a good idea to benchmark how hard it is to set up a functioning and operational GNU Health system in community X for example.
There's a lot of potential for replacing nothing/no doctors with machine learning, especially in developing countries. Especially in areas where mobile phones are spread I can think of a couple of use cases. Take a picture of your swelling/strange looking skin/whatever and have a classifier tell you what it could be. Last time I checked the algorithms actually beat expert panels (for skin cancer). Could probably be coupled with a "doctor as a service" system that optimizes routes based on this sort of data.
The more I think about it the more I should catapult working in this area up my job application list :)