Adult site reviews
That is a very labor-intensive process, but that might also point out some inaccuracies in the electronic data that we are able to get directly.
I am Kathy Miller, professor of medicine at the Indiana University School of Medicine in Indianapolis, Indiana.
Dr Miller: Many of us who have used them can tell which ones oncologists had a hand in developing, and maybe which ones were done elsewhere. A hand in developing, a hand in the input and language of the field, or domain experts who understand what doctors really need, what patients really need, and, more importantly, how work flows so doctors can work efficiently.
Dr Yu: Cancer Lin Q traces back to the Institute of Medicine, now called the National Academy of Medicine, which held a series of workshops a few years ago about big data and what was called "rapid learning systems." The idea was, with the massive data that we will be acquiring in the decades to come, how can we learn from that data and create a system where we learn from real-world experiences, understand what is actually happening out in the field, and supplement what we learn from randomized clinical trials?
How can we dive deep into data to understand that, and maybe develop a randomized clinical trial to definitively answer [the questions]?
Real-world big data—observational data or whatever you want to call it—really complement the randomized clinical trial.We have been hearing a lot about big data over the past year or so.We need to think carefully about what the clinical value is of huge compilations of patient information. Dr Miller: I really appreciate you taking the time from your busy schedule to talk to us about big data.One of the ways to make observational data more useful, more accurate, more reliable and trustworthy is to link datasets so that you can triangulate, fill in the gaps, and have a more complete understanding.