So how do medical professionals use a system that will likely have a lot of misinformation and noise

[zihadhasan012]

The key is acknowledging that limitation and designing the system to account for it. The reason that GPHIN was so successful, was not that it sent an e-mail directly to health authorities every time someone mentioned "cough", instead it was so powerful because it used aggregate information to identify real trends. Real people, including doctors, look over the information and decide if it is worth pursuing or not.


It is natural to assume the front end of a system like this might look something Twitter search with has every relevant Tweet visible. This is not how it works. Instead I think a more accurate representation would israel mobile phone numbers database be that of Google Flu Trends (aggregate information) with trends that can be broken down by location and with the help of social media, broken down into social groups. Danny Dover Twitter I am not and do not claim to be a medical or disease expert.


If you are, I invite you to help me make this post better. As always, feel free to leave your thoughts in the comments below. If you would rather not do that, feel free to e-mail me. All of my contact information is available on my profile: Danny Thanks! Other Similar Discussions: Twitter: Growing Virally But Can It Stop Viruses? - Chris Thorman writes a very compelling post that adds the use of Electronic Medical Records (EMRs) to the discussion.