Accelerating Clinical Studies with AI

Challenges

Pharmaceutical companies operate in a high-stakes environment where speed and accuracy are critical. The profitability of new products hinges on the patent-protected period, a narrow window before generic alternatives enter the market. However, clinical studies - essential for regulatory approval - consume valuable time, typically taking 18-24 months. Every delay shortens the exclusive revenue period, impacting profitability.

To stay ahead, pharmaceutical companies are turning to AI to streamline clinical study development. While AI offers immense potential, its implementation comes with key challenges:

Maintaining scientific integrity by ensuring AI-generated outputs are accurate and reliable.
Navigating strict legal frameworks, especially concerning copyright-protected materials.
Providing intuitive review mechanisms to keep human experts in control.
Ensuring airtight security—no proprietary data can be exposed beyond the internal environment.

Solution

Digital Hive responded with Evidence CoPilot (ECP): a cutting-edge AI-powered application designed to transform clinical study development. A dedicated internal team of data scientists, guided by a product owner and project manager of Digital Hive, engineered ECP to accelerate workflows while ensuring compliance and security. The platform consists of four core components:

Literature Search

An AI agent scans multiple platforms for the most relevant publications, providing researchers with instant insights.
Both open-access and licensed, copyright-protected materials are accessible, ensuring a comprehensive research base.
Articles are delivered in an organized format, ready for review and integration into subsequent study phases.

Synopsis Generator

AI rapidly summarizes selected articles, whether sourced through Literature Search or uploaded manually.
The concise, structured synopses enable faster decision-making and can be refined or exported as needed.

Systematic Literature Review (SLR)

Users compile structured reports leveraging insights from previous searches and summaries.
SLR serves as a foundation for study development, ensuring a robust, evidence-based approach.
Built-in review functionality guarantees that human expertise remains at the forefront.

Publication Development

ECP automates the final study document’s creation using predefined templates, expediting the evidence generation process.
AI accelerates screening, analysis, summarization, and structured report generation.
Researchers can efficiently transition from data collection to publication without compromising quality.

Results

After a year of development, ECP is now ready to be used, delivering measurable impact for pharmaceutical companies:

AI-driven automated reviews ensure quality control at every step.
Advanced AI prompts minimize errors, boosting the reliability of insights.
User-centric control allows researchers to review, edit, and export results at any stage.
Enterprise-grade security keeps all generated content private within a protected portal—no data is exposed online.

With ECP, Digital Hive has empowered pharmaceutical companies to fast-track clinical study preparation, maximize patent profitability, and maintain full regulatory compliance. By leveraging AI for efficiency, they can now focus on what truly matters: bringing life-saving innovations to market, faster and smarter.

Interested how Digital Hive can help you implement AI-driven solutions tailored to your business needs? Get in touch today to start accelerate your work and stay ahead in an evolving market!