Our world is drowning in data. 

Humanity generates a staggering 402.74 million terabytes of information every day. From the countless videos we stream to the endless social media scrolling, our global digital footprint is growing exponentially. This data deluge is reshaping industries, influencing our lives, and posing unprecedented challenges. 

Within clinical trials, rapidly evolving technologies are enabling researchers to capture new data points as trials grow more complex. However, this poses new challenges in managing clinical trial data. 

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A decade ago, our founders’ experiences in clinical research and life sciences drove them to create Medable, a simple cloud-based platform that could improve theconduct of trials. Over the last ten years, we’ve conducted nearly 400 trials on our platform, continually refining it to provide a better experience for sites, patients, and caregivers.Today, we’re excited to announce that our customers are entering a new era of control, ease of use, and simplicity.

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In today's digital age, Software as a Service (SaaS) has emerged as a cornerstone of cloud computing, transforming how businesses and individuals access and utilize software applications. 

This cloud-based software deployment model has become increasingly popular due to its accessibility, cost-effectiveness, and scalability. Now, SaaS is making significant inroads in the pharmaceutical and life sciences industries, offering solutions to longstanding challenges and driving innovation.

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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.

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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.

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%.

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

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.

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