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DE&I

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1rem

This year’s conference highlighted a number of critical areas in clinical R&D including financial management, representation, and eCOA. 

Notable Discussions from SCOPE 2025: Aiming to Calculate, Accommodate, and Innovate for Enhanced Drug Development 

The ongoing evolution of real-world evidence  from a novel concept to a cornerstone of modern medical research signifies its growing importance and vast potential to improve personalized medicine, overall healthcare outcomes, and eventually democratization of scientific facts by general accessibility.

The Importance of Real-World Evidence  in Medical Research and Drug Development

Machine learning can help investors dive deeper into trial data to evaluate the true potential of an asset and uncover new hidden opportunities.

Turning Uncertainty into Opportunity: Smarter Clinical Asset Evaluation Powered by Causal Machine Learning 

Use of decentralized approach in a Phase 1 pharmacokinetic trial shows the ability to enable remote data collection and monitoring, which could improve patient access and enhance the efficiency of clinical research.

Decentralized Phase I Trial Highlights Promise of Remote Data Collection to Improve Clinical Research

Pilot trial shows that a user-friendly electronic patient-reported outcome (ePRO) monitoring system significantly improves patient-centered cardiovascular care by enhancing patient-physician communication, increasing clarity in treatment explanations, and empowering patients with better knowledge of their conditions.

Study Shows ePRO Monitoring System Enhances Patient-Centered Care with Improved Communication, Treatment Clarity

In this video interview, Kimberly Tableman, founder & CEO, ESPERO, discusses how EDC and EHR data can be streamlined to increase efficiency at sites. 

2025 Trends: Streamlining Data at the Site Level

, Kimberly Tableman, founder & CEO, ESPERO, discussed the challenges and trends in protocol development for clinical trials. She also highlighted technological advancements, such as data interoperability standards like ICH M11 and CDISC, and how they are expected to streamline protocol development and support generative AI in 2025.

ACT: What do you think should be top of mind for clinical operations executives going in 2025?

I also think we're seeing a lot with real-world evidence and real-world data. Overall, there's an opportunity for streamlining again, at the site. Eighty percent of the data that we collect in the EDC is also collected in the EHR, and we're seeing a lot of solutions from a tech perspective out there, where you actually can leverage the data that's being input into the EHR, leverage that into the EDC, and then there's only about 20% of the data that's very specific to clinical research that then has to be filled out. That's a huge benefit to the site, because we talk a lot about burden for the site, and removing that burden, making life easier for them, not asking them to dual data enter the same information is really a huge benefit.

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