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Top 3 Examples of Interactive Clinical Data Visualizations

Statistical Consultancy Team

Nowadays, vast amounts of data are collected during any clinical trial and it is essential for pharmaceutical sponsors to understand these data in great detail to make accurate decisions.

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Topics: Adverse Events (AEs), SDTM, Biostatistics Consulting, ADaM Datasets, Visualization, Technology Trends, Statistics

ICHGCP E6 Addendum R2 - What do you need to know?

Gavin Boodoo



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. 

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Topics: Good Clinical Practice (GCP), FDA, Remote Monitoring, Quality Assurance, Data Transparency, Additional Monitoring, Technology Trends, Risk Based Monitoring, Centralized Monitoring, ICHGCP E6

Should We Be Integrating Mobile Health Apps in Clinical Trials?

Statistical Consultancy Team

Wearables and mobile health (Mhealth) apps collect subject/patient data from mobile or purpose built devices to record data in real time. The rationale behind this type of technology is to reduce the burden on subjects by eliminating unnecessary procedures, streamlining routine procedures and reducing time spent at clinical trial sites. It is evident from the review of a range of literature that studies integrating some form of mobile health technology can be broadly categorised into a few phases of development: studies on the development of new devices, studies on the validity of functional wearable devices, studies comparing new device and conventional endpoints, and finally those studies which trial the device as a health intervention. This article aims to briefly discuss these phases with reference to examples of recent studies demonstrating some safety or efficacy endpoint relating to a newly developed device.

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Topics: Clinical Trials, Clinical Study Design, Biostatistics Consulting, Technology Trends, Wearables in Clinical Trials, Wearables, mHealth

The Rise of Risk Based Monitoring [Infographic]

Thomas Underwood

Risk Based Monitoring is a term that is not new to the pharmaceutical industry. With increasing demand for budget reduction and reduced time to submission in drug development, both sponsors and vendors are seeking ways to reduce costs whilst still maintaining and potentially improving the quality of the data collected in clinical trials. Study costs can rise considerably for clinical trials with a large number of sites, especially across multiple countries. Risk Based Monitoring can reduce study costs considerably as there is a reduction in the need for CRAs to travel to sites, especially when coupled with a remote monitoring component. Also a reduction in the need to monitor all clinical trial sites and 100% of trial data, as those which are identified as more risk prone are visited more frequently according to targeted or triggered formulas. Even the FDA understands and encourages the desire to move away from 100% source data verification. Why therefore is the general mind-set in clinical operations exhibiting a degree of inertia to change with regard to RBM techniques? 

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Topics: Clinical Trials, Remote Monitoring, Electronic Data Capture, e-Clinical, Source Data Verification (SDV), Adverse Events (AEs), On-Site Monitoring, Serious Adverse Events (SAEs), Clinical Trial Phases, Additional Monitoring, Phase 2 Studies, Technology Trends, CRAs, Risk Based Monitoring

mHealth Apps and Wearables in Clinical Trials to Consider

Nick Burch

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.

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Topics: Regulatory Requirements, FDA, European Medicines Agency, Quality Assurance, Mobile Device, Technology Trends, Wearables in Clinical Trials, Wearables, mHealth

The Rise of Risk-Based Monitoring in Clinical Trials

Thomas Underwood

During drug development the cost of clinical trials can rise significantly for studies that require several monitoring visits across multiple sites. Traditional monitoring techniques account for a large portion of these costs. Pharmaceutical companies absorb the costs of travel when their own Clinical Research Associates (CRAs) visit sites, while CROs normally charge clients these travel costs as pass through charges. It is estimated that remote monitoring in clinical trials could reduce travel costs (including unproductive time spent travelling) by up to 30%, and in theory the practice should be scalable across small to large clinical studies over several clinical trial phases[1]. The unproductive travel time saved also means CRAs have more time available for monitoring activities, aiding with the current CRA shortages[2].

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Topics: Clinical Trials, Remote Monitoring, Electronic Data Capture, e-Clinical, Source Data Verification (SDV), Adverse Events (AEs), On-Site Monitoring, Serious Adverse Events (SAEs), Clinical Trial Phases, Additional Monitoring, Phase 2 Studies, Technology Trends, CRAs, Risk Based Monitoring

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

The Technology Trends advancing Clinical Development Efforts

Nick Burch

 

Today there are an increasing number of technology trends which affect, and will soon affect clinical development efforts. We sat down with our CTO, Nick Burch, recently back from speaking on Big Data, and asked him for his top three trends

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Topics: Open Source, Open Standards, Agile Software Development, Technology Trends

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