The ICH Guidelines for Good Clinical Practice (E6) has morphed into the international standard for clinical trial conduct since its inception twenty years ago. However, within that period, clinical research has changed dramatically and it is a credit to it’s authors that ICHGCP remains relevant today, with only one previous notable update seen in response to electronic data capture (EDC) technologies being widely utilized by the industry.
With a growing trend towards the use of risk-based monitoring, and with new technologies available to support this alternative to traditional onsite monitoring, there remains inertia to implement this approach. Having discussed remote monitoring capabilities with industry peers, we have identified the root cause of this reluctance as an intrinsic fear of flouting regulatory compliance within the conduct of a clinical trial.
Far from being simply a summary of individual results, a comprehensive and detailed summary allows companies to make informed decisions. Producing comprehensive integrated summaries of safety and efficacy is a critical stage of the submission life cycle. These need to be designed and planned carefully in advance to ensure informed decision-making and effectiveness at the regulatory interface. A focus on the approval and whole lifecycle of the product, and not just the submission, will influence the quality and direction of the content. Traceability is key in all respects of the creation of information, from data that leads to knowledgeable decisions and the ultimate wisdom that forms the label of a product.
Today, mHealth, Mobile Health, Mobile Apps and Wearables are hot topics with consumers and regulators alike. We're also starting to see consumer-grade wearables and mHealth technologies creeping into clinical trials. We've written this blog for those looking to use this area more.
We recently hosted a webinar on the challenges of Pharmacovigilance in early phase clinical trials. During the registration process we had the chance to survey members of the industry, 70% of the respondents were from pharmaceutical, biotechnology or medical device companies. We wanted to present the data from the 150 respondents in this blog.
Quanticate's Medical Writing Team have summarized tips for the preparation of comprehensive, well-written, and focused integrated summary documentation.
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'
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!
Dr Ben Goldacre, author of 'Bad Pharma' presented a keynote speech at the Clinical Data Live! symposium on clinical data transparency.
Q&A on Data Transparency in clinical trials with Dr Ben Goldacre, Katherine Hutchinson & Kevin Carroll at Clinical Data Live!
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