Clinical trial site uses Medable clinical trial platform technology.
White Papers, Case Studies, Reports

Technology overload: Addressing site challenges in clinical research

In the early 2000s, a new era of clinical research began – the digital era. As large sponsors and CROs like IQVIA andGlaxo Smith Kline began implementing electronic data capture (EDC) systems into their trials, clinical trial sites experienced the first major digital disruption in how they conducted clinical research. Fast forward totoday, and this cycle of disruption not only continues, it’s shortened.

As a recent article by BusinessInsider states, “it took 30 years forelectricity to be adopted by 10% ofUS consumers. It took 25 years for the telephone to achieve the same penetration. Tablets achieved thisreach in just five years – and they’re not even our primary devices." This shortened cycle of mass adoption has brought smartphones,smartwatches, tablets, and moreto trials, as well as new software and portal applications like eCOA and eConsent. However, it’s been reported that too much technology is commonplace and it quickly overwhelms.

In this white paper, we’ll examine best practices in ensuring sites are adequately prepared and supported for new trial technologies,derived from the experiences of key individuals with direct experience from pharma, technology vendors and importantly from sites themselves.

Blog posts

Rapid evolution: How DCT’s DNA became standard in modern clinical trials

It’s impossible to deny how different clinical trials look almost four years after the pandemic revolutionized clinical research. Today, the digital and decentralized tools and technologies that enabled clinical trials to carry on through the COVID-19 pandemic are present (in some form) in nearly all clinical trials, a far cry from the dynamics of 2019.

White Papers, Case Studies, Reports

Medable platform speeds diabetes study startup by 50%

6 min

A top 10 pharmaceutical company approached Medable seeking support for their Phase III diabetes study in the highly competitive weight loss market. Their primary goal was toreduce the client’s average study build timelines from 16-20 weeks, down to just 8 weeks,a reduction of more than 50%.

See how Medable was able to meet the customer's goal with this case study.

Blog posts

Unlocking scalability in pharma with AI

What is the path to addressing the remaining 10,000 human diseases? 

Almost two years ago, Medable CEO Michelle Longmire asked this question in a blog titled “Accelerating the path from possibility to proof in the development of new medicines.” Back then, she wrote that leveraging the most meaningful tools we had at the time would drive new synergies at the intersection of safety, science, and speed and enable a new era of drug development.

Today, our industry stands at the precipice of a new era in clinical research, marked by rapid advancements in technologies that society widely refers to as artificial intelligence and machine learning (AI and ML). While each of these technologies has existed for some time, recent advancements in their capabilities have brought them to the forefront of our industry.

In the future, AI and ML may prove to be the most important technologies of our time, as they have the potential to enable true scalability in pharma, as well as other business sectors.


DCT Digital Week: Creating the Digital Foundation for Scale in Clinical Development

Learn how sponsors and CROs can improve their clinical trial conduct by developing new strategies that create sustainable, repeatable, and effective clinical conduct.

See how Medable can make your trials more efficient.