The clinical development landscape is on the brink of a significant transformation. Generative artificial intelligence (GenAI) is poised to unlock between $13 billion and $25 billion in annual value for pharmaceutical clinical development, signaling a shift from outdated, manual processes.
For too long, fragmented systems and overreliance on manual effort have hindered the life sciences industry. At the same, clinical trial teams have often used technology to improve flawed processes rather than fundamentally redesign them. This approach has resulted in years of sustained inefficiencies, especially in clinical data management.
There’s a better way. At Zelta, we envision a future where building, testing, and launching a clinical study can happen in under 24 hours. This isn't just about speed; it's about building a foundation of trust, collaboration, and traceability that redefines what's possible in clinical trials.
The life sciences industry faces a unique set of challenges. While large pharmaceutical companies have the resources to experiment with custom AI pipelines, small to mid-sized pharmaceutical, medical device, and Contract Research Organizations (CROs) with limited budgets run 75% of clinical trials. These smaller players face the same problems as their larger counterparts but with fewer people and lower budgets to address them. Some of these challenges include:
As my colleague Isaac Erickson, vice president of consulting for Zelta, notes “Teams can follow a standard operating procedure (SOP) perfectly for compliance. Yet, if they are consistently completing that procedure with poor quality data, that approach becomes the pitfall for risk-based testing.” As he explains, this focus on process over outcome can obscure what’s important.
These challenges mean that the crucial phase of designing and building the electronic data capture (EDC) system can become a bottleneck, delaying study start-up and making it difficult to adapt to changes once a trial is underway.
"We envision a future where building, testing, and launching a clinical study can happen in under 24 hours. This isn't just about speed; it's about building a foundation of trust, collaboration, and traceability that redefines what's possible in clinical trials."
-- Jennifer Duff, General Manager, Zelta
Our industry needs a new approach to overcome these challenges. Small and mid-sized organizations, in particular, need accessible, off-the-shelf AI capabilities that can be integrated into their existing tools.
At Zelta, our approach to this conundrum started with an idea: "What if we could move past these limitations? What if we could build, test, and validate a study database in 24 hours?”
The technology now exists to automate and streamline these processes, freeing human experts to focus on what truly matters.
Our vision is to shift the role of humans within technology processes from manual facilitators to decision-makers so that organizations can focus on what truly matters: using data science for sought-after trial outcomes. This "easy button" concept goes beyond just speed to a more agile, reliable, and intelligent process.
A 24-hour study does exactly this to redefine the entire paradigm. It means:
Built on trust, collaboration, and complete traceability, our vision for the 24-hour study build ensures speed never comes at the expense of quality or compliance.
We're moving beyond simply working around problems and are starting to solve them at their root. Rather than apply AI technology to a legacy process to drive efficiency, we need to think about the problem and assess if AI is the answer.
-- Walker Bradham, senior director of product management and design, Zelta
Achieving a 24-hour build requires a fundamental shift in both technology and mindset. Zelta’s approach is built on four primary pillars.
The future of clinical data management is not a distant dream; it's happening now. The convergence of advanced AI and willingness to challenge long-held assumptions creates fundamental change opportunities.
Walker Bradham, our senior director of product management and design, put it best: We're moving beyond simply working around problems and are starting to solve them at their root. Rather than apply AI technology to a legacy process to drive efficiency, we need to think about the problem and assess if AI is the answer.
This transformation will level the playing field, allowing organizations of all sizes to focus on their core mission: developing new therapies that improve and save lives.
Zelta: Creating the future of instant database builds
Sunday, September 28
12:40 pm to 1:10 pm ET
Product Showcase, Room: 343+344
Let's discuss how we can reshape the future of clinical trials, together.