Knowledge Center

In November, we released an update to Medable Studio titled Medable AI. This latest update furthers Studio's unique value proposition, offering sponsors and CROs unprecedented control over the study creation and launch process, as well as scalability, speed, and streamlining of operations.  This provides the easiest, fastest path to study launch in the industry to date.

If this already sounds like something you could use, check out a demo or an in-depth look at its feature set here. 

For everyone else, read below to discover what exactly Medable AI has to offer.

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Traditionally, clinical trials have relied heavily on centralized sites and face-to-face interactions between researchers and participants. However, the limitations of this model have become increasingly apparent, especially during the COVID-19 pandemic, which prompted an unprecedented emergence of decentralized clinical trials (DCTs), whose characteristics of remote patient engagement, virtual assessments, and mobile health technologies allowed the healthcare industry to continue drug development (albeit at a slower pace).  As the healthcare landscape continues to evolve, DCTs are emerging as a vital component of the clinical research ecosystem. By leveraging technology and data to streamline processes and the need to enroll a greater diverse patient population, DCTs promise enhanced patient engagement, improved data quality, and accelerated study timelines. As with everything in life, nothing is always that simple. In this blog, we will explore the future of decentralized clinical trials and look at the challenges faced by sponsors, sites, and patients when planning, implementing, and running a DCT. We will also discuss how Medable is continuously adapting its platform and software capabilities to reduce risks and provide solutions that allow the benefits of DCTs listed above to be fully realized. 

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“No one knows their level of pain and how they feel or function better than the patient. Capturing the patient’s response to an electronic Patient Reported Outcome (ePRO) is always the best option.”

Since its inception, Medable has prioritized scientific integrity and rigor around various aspects of clinical trials. As part of its science team, Cindy Howry, VP of eCOA Science, plays a crucial role in ensuring that Medable’s clinical trial platform accurately captures electronic Clinical Outcome Assessments (eCOAs). Hired in 2023, Howry’s chief purpose at Medable is to ensure that the health economics and outcomes research (HEOR) science behind our technology is based on best practices and regulatory guidance.

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With the eConsent market expected to continue its ascent over the next ten years, it’s apparent to those who have used it that the “e” in eConsent stands for much more than electronic.

Analysis and real-world examples show that it can be efficient, educational, and empathetic, leading to better participant education, reduced participant dropout, lower administrative burden for sites, reduced audit findings, and more.

Complete the form below to grab your copy of our whitepaper and see what Duke had to say.

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A top-10 pharmaceutical company was looking to reduce the amount of administrative burden on their clinical trial sites and themselves. 

The sponsor sought to find a vendor that could use one eConsent system to manage paper and electronic consent. 

Additionally, they sought to use the central eConsent system to populate the clinical trial sites’ IRB and EDC systems,  as well as some internal systems.

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A top-10 pharmaceutical company was looking to standardize the conduct of their diabetic polyneuropathy trials for future use.

Specifically, the client was looking to digitize their paper “body map” forms. These are used by participants to indicate the severity of pain on their bodies. 

Traditionally administered on paper, body map assessments had been a source of potential inefficiencies and errors. 

The client’s goal was to co-create and own their body maps, while simplifying and streamlining the process for future trials.

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Deployment of remote and virtual clinical trial methods and technologies, referred to collectively as decentralized clinical trials (DCTs), represents a profound shift in clinical trial practice. To our knowledge, a comprehensive assessment of the financial net benefits of DCTs has not been conducted

Research looking at mobile apps and how they may provide a meaningful access point for all stakeholders for symptom management.

The FDA is taking steps to ensure that clinical trials are more representative of the diverse populations they aim to serve. This comes after the industry and the FDA's long-term recognition that clinical trials have often excluded underrepresented groups, leading to health disparities across the United States and the world.

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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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The adoption of connected devices in clinical trials has experienced a significant surge since 2020.  Driven by the need for more efficient and accurate data collection, sponsors and CROs have begun investing heavily in devices that can help with remote monitoring capabilities and improved patient engagement. These devices, which include wearables, sensors, and mobile apps, are revolutionizing the way clinical trials are conducted, enabling researchers to gather real-time data and gain deeper insights into patient behavior and treatment outcomes.

According to a report by Grand View Research, the global connected device analytics market for the healthcare industry is projected to grow at a staggering compound annual growth rate (CAGR) of 28.9% from 2022 to 2030. This remarkable growth can be attributed to the increasing demand for real-world evidence, the need for remote patient monitoring, and the growing emphasis on value-based care models.

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