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Outcomes Research Programming vs Traditional Clinical Trial Programming

Clinical Programming Team

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.

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Topics: Statistical Programming, Clinical Study Design, Clinical Programming, Accessible Data, Big Data, Outcomes Research, Real World Data, Teradata SQL

Nick Burch Discusses Big Data in Clinical Trials [Video]

Nick Burch

Nick Burch, CTO at Quanticate discussed Big Data in Clinical Trials at the 4th Annual Clinical Data Integration and Management conference this year in Princeton, NJ. His presentation is titled: 'The Myth of the Big Data Silver Bullet - Why Requirements Still Matter'

Abstract

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!

 

Big Data in Clinical Trials Video 

 

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Topics: Clinical Trials, Clinical Data Storage, FDA, Clinical Study Design, Large Datasets, CRO Efficiency, Visualization, Accessible Data, Mobile Device, Big Data, Drug Development, Technology Trends

Ben Goldacre Discusses Clinical Data Transparency [Video]

Statistical Consultancy Team

Dr Ben Goldacre, author of 'Bad Pharma' presented a keynote speech at the Clinical Data Live! symposium on clinical data transparency. 

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Topics: Regulatory Requirements, Good Clinical Practice (GCP), FDA, Electronic Medical Record (EMR), Adverse Events (AEs), Historical Data, European Medicines Agency, Clinical Trial Documentation, Clinical Documents, Ethics, Accessible Data, Data Transparency

Data Transparency in Clinical Trials Q&A with Ben Goldacre [Video]

Statistical Consultancy Team

Q&A on Data Transparency in clinical trials with Dr Ben Goldacre, Katherine Hutchinson & Kevin Carroll at Clinical Data Live!

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Topics: Regulatory Requirements, Good Clinical Practice (GCP), FDA, Adverse Events (AEs), Historical Data, European Medicines Agency, Ethics, Phase 3 Studies, Accessible Data, Phase 4 Studies, Data Transparency

Remote Data Capture in Clinical Trials through Smartphones, Tablets and other Mobile Devices

Michael Whitworth

 

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.

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Topics: Remote Monitoring, Remote Data Capture, Tablets, Accessible Data, Medical Device, Smartphones, Mobile Device

The Benefits of Centralizing Clinical Data Services

Commercial Team

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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Topics: Centralization, Specialist Biometrics CRO, Outsourcing Solutions, Accessible Data, Clinical Data Services

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