Outcomes research aka health outcomes research, is the study of the end results of particular health care practices and interventions, in other words it is the study of what happens in the real world to patients when they are given a certain treatment or a certain method of care. Outcomes research studies are used to improve the quality and value of healthcare for patients.
We've all heard the hype - Big Data will solve all your storage, processing and analytic problems effortlessly! Some moving beyond the buzzwords find things really do work well, but others rapidly run into issues. The difference usually isn't the technologies or the vendors per-se, but their appropriateness to the requirements, which aren't always clear up-front.
Big Data, and the related area of NoSQL, are actually a broad range of technologies, solutions and approaches, with varying levels of overlap. Sadly it's not just enough to pick "a" Big Data solution, it needs to be the right one for your requirements. In this talk, we'll first do a whistle-stop tour of the different broad areas and approaches of the Big Data space. Then, we'll look at how Quanticate selected and built our Big Data platform for clinical data, driven by the needs and requirements. We won't tell you what Big Data platform you yourself need, but instead try to help you with the questions you need to answer to derive your own requirements and approach, from which your successful Big Data in clinical trials solution can emerge!
A Mobile Device for Everyone Reports say that mobile devices are going to surpass humans in 2013. They are a major part of all our lives and are becoming increasingly important to business delivering information efficiencies in process. The data chain that goes from a medical device to mobile device is very much part of the day-to-day operations. For example, opticians will collect data through a medical device, which is then sent via WiFi to enable remote consultion and prescription of the necessary lens.
When Sponsors select a CRO, most make their choice based on the CRO’s clinical experience, locations, capacity, expertise and of course price. They then assign the 'back end services' such as data management, statistical analysis and reporting to the same CRO by default. This practice overlooks the practicalities and economies of centralizing their clinical data for all study programs. This blog explores the advantages of centralizing those 'back end' services whether it is internally by the Sponsor, with a full service CRO or with a specialist biometrics CRO.
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