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Challenges and Opportunities in Clinical Data Management

Written by Cmed

A recent survey on the challenges and opportunities in clinical data management by Pharma Intelligence reveals the most pressing issues today include the absence of real-time access to clinical trial data and that 90% of the effort involved in aggregating, cleaning and transforming data is manual. Moreover, over 80% of the respondents considered that incomplete and inconsistent data represents the top issue for regulatory compliance. Lastly, perhaps one of the most important findings was that eSource data is the future - finding ways to clean and manage new forms of data will be the next step in the progress of clinical trials.

The survey was conducted on 155 qualified respondents from biotechs, large pharma companies and CROs, representing a significant voice of the market.

These findings came as no surprise as we see some of these same challenges facing the industry. The current patchwork of often quite dated clinical data systems and the use of separate tools, with inadequate interoperability usually leads to data lag, data errors, process inefficiencies, and regulatory challenges. As well as this, poor management and insight into trial progress and a lack of timely decision making are always a concern.

However, leveraging today’s technologies now offers an opportunity to address many of the principal trial process issues, with significant improvements in time, cost, and the quality of data collected.

That’s why at Cmed we created Encapsia, a powerful clinical data suite that delivers a complete solution to gather and manage data in clinical trials and give true, live insights on trial progress to inform and enhance management decisions.

Encapsia allows data to be captured flexibly, for example by mobile direct data capture (eSource), multi-media and web EDC. Data can be viewed live in visual insights and can provide real time analytics of both clinical metrics and trial performance.

Observations and issues can be highlighted, shared with study stakeholders, actioned, tracked and automatically compiled into clear auditable formats. The Encapsia suite is fully compliant with all relevant regulatory standards. The suite has also been designed to easily integrate with existing EDC platforms allowing customers to benefit from selected enhancements without having to displace all incumbent solutions.

We built Encapsia for the future of clinical trials. And we’d love to show you more.

For a no obligation chat on how encapsia can help you overcome current trial challenges contact:

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What a week in San Diego at DIA 2019! After arriving home late (or early Friday morning) and exhausted from the long journey, I still have an energy coursing through my veins fuelled by the week we left behind. As I reflect what the week meant for us, I feel an excitement about the future of both Encapsia and our industry. Having observed the conference themes and the offerings from other vendors, I can’t help but feel there is nothing quite like Encapsia.
It is now much easier for clinical trial sites to manage subject data as well as randomization, inventory management and drug dispensation. These processes can now be performed in real time using the single interface and unified database of Encapsia, the clinical data suite developed by Cmed’s technology division. The breakthrough announced today has been made possible by a deep “hyper integration” between Encapsia with leading-edge technology platforms PULSE and DRIVE from endpoint Clinical.
A recent survey on the challenges and opportunities in clinical data management by Pharma Intelligence reveals the most pressing issues today include the absence of real-time access to clinical trial data and that 90% of the effort involved in aggregating, cleaning and transforming data is manual. Moreover, over 80% of the respondents considered that incomplete and inconsistent data represents the top issue for regulatory compliance. Lastly, perhaps one of the most important findings was that eSource data is the future - finding ways to clean and manage new forms of data will be the next step in the progress of clinical trials.