Clinical trial platform

Learn how Medable enabled a top-5 pharma to scale vaccine mega-trials with near-100% enrollment, real-time safety data, and >90% diary compliance.

‍

“Big corporations can’t rely on their internal speed to match the transformation that is happening in the world. As soon as I know a competitor has decided to build something itself, I know it has lost.” 

These candid sentences from Sanofi CEO, showcase one of the most common questions that’s at the forefront of every pharmaceutical company’s mind; whether to build or buy your way into the agentic and generative AI revolutions. 

In life sciences, many teams start with the same instinct. They see a capable large language model, stand up a proof of concept, and feel close to a breakthrough. For most of us, AI prototypes can look magical. A chatbot summarizes visit reports, drafts emails, or answers protocol questions in minutes. The experience is so strong that teams assume production is a short step away.

Unfortunately, the gap is much bigger than it looks. 

According to a recent MIT study, 95% of AI pilots will fail, as they note that “Only 5% of custom GenAI tools survive the pilot-to-production cliff, while generic chatbots hit 83% adoption for trivial tasks but stall the moment workflows demand context and customization.”

Like MIT’s example shows, moving from prototype to production in clinical research means building something validated, compliant, scalable, and integrated into real workflows. That takes far more than clever prompts. It requires domain grounding, continuous monitoring, retraining loops, robust tool orchestration, and evidence that the system is safe and auditable under regulations like GxP, HIPAA, and 21 CFR Part 11.

Many organizations only discover the hidden costs after they have committed. Internal teams often invest for two years, spend millions in sunk cost, and still never reach a dependable clinical grade system. The illusion comes from how easy it is to get an early demo working, and how hard it is to make that demo survive contact with trial reality. 

‍

Learn how Medable is powering a decade-long, global long-term follow-up (LTFU) obesity study, achieving an impressive 97% patient retention rate without using a traditional EDC system all while delivering a compliant, scalable, and cost-efficient solution.

‍

Discover how electronic Clinical Outcome Assessments (eCOA) are revolutionizing clinical trial design. This post explores how digital tools enhance patient engagement, improve data accuracy, and drive the shift toward decentralized clinical trials. Dive in to see why integrating eCOA is essential for modern, efficient clinical research.

‍

Discover how advanced eCOA platforms improve patient adherence, ensuring reliable data and faster trial completion. Explore real-world successes, including adherence rates exceeding 90% in diabetes and oncology studies, powered by Medable’s eCOA (electronic clinical outcomes assessment) solutions.

eCOA solutions streamline clinical trials by digitizing data collection, improving accuracy, and enhancing patient experiences. Explore how real-time monitoring, automation, and integration are revolutionizing modern trials while addressing regulatory needs.

‍

The rise of SaaS has transformed industries, including life sciences, by enabling new possibilities. For instance, Salesforce revolutionized how organizations managed their customers and future clients with its cloud-based software, enhancing accessibility and collaboration. Similarly, Canva made graphic design tools accessible to all, empowering professionals and casual users alike.

‍

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. 

‍

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.

‍

There’s no doubt that study launches come with extremely high stakes for sponsors requiring precise coordination over numerous critical activities across multiple stakeholders, including regulatory bodies, ethics committees, investigator sites, and internal teams. Now, sponsors can see exactly what’s happening live across assessments, instruments, translations, and more. This is true whether their internal teams handle launch activities or whether vendors handle them, a stark contrast to the traditional technology development process.

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.

‍