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One of the things we are finding in Cancer Lin Q and other data sources is that we need to work with both the EHR vendors and our physicians to do a better job, frankly, of documentation so that it is more clear and accurate.We have all seen cutting and pasting; things like this really lead to the problem of not very good data. Besides working with our practices to get better-quality data into their records so that better data come up to Cancer Lin Q, we have been having discussions with SEER for over a year now about linking data.Dr Yu: That gets to another point, which is that data are only as good as what people enter.You can try to clean it up, but it takes a lot of human work, which is expensive and somewhat wasteful and inefficient.The NCI is about 50 or 60 years old, so this is not a new idea.The NCI itself has said that observational data are important—important for research use. The SEER database does not cover the entire US population but a good chunk of it.We have been hearing a lot about big data over the past year or so.
.campaign-form .form-group:after,.campaign-form:after,.homepage-header .hp-signup-box .gforms_confirmation_message:after,.homepage-header .hp-signup-box form:[email protected] (min-width:768px).section-label-source.section-label-source:focus,.section-label-source:hover,[email protected] (min-width:992px).social-link:focus,.social-link:hover.social-link .glyphicon#masthead-logo.main-menu #menu-item-4350.main-menu #menu-item-4350 .dropdown-focused,.main-menu #menu-item-4350:focus,.main-menu #menu-item-4350:hover.main-menu #menu-item-4277 .sub-menu li#masthead .parent-link#splash#splash #splash-video,#splash .splash-container,#splash .splash-placeholder#splash #splash-video,#splash .splash-placeholder#splash #splash-video#splash [email protected] (min-width:992px)#splash .splash-container#splash .splash-logo#splash .splash-logo svg#splash #exit-splash#splash #exit-splash svg#homepage-campaign .ncstate-utility-bar#site-title-lockup#site-title-lockup svg#site-title-lockup .site-title.A typical randomized clinical trial is set up with a specific question—generally an interventional question—and the design for a statistically accurate clinical trial to answer this question definitively.When you look at big data, there is opportunity to take it from a different point of view, which is to let the data speak to us. What trends do we see that we do not understand but want to understand better?Dr Yu: They're very bad at talking to each other, in part because there isn't a trusted steward that can bring all of these elements together.
That is one of the things that is lacking, and one of the things that ASCO is providing is being that trusted steward, trusted by our members, trusted by our doctors to bring the data together.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? Welcome to Medscape Oncology Insights, coming to you from the 2016 annual meeting of the American Society of Clinical Oncology (ASCO).