A global leader in health information technology and clinical research services faced a growing challenge: its business teams needed frequent, customized reports from clinical trial databases, but the IT department couldn’t keep up with the pace. Static, pre-defined reports were no longer sufficient to meet the dynamic and evolving needs of clinical operations. This created bottlenecks, delayed decision-making, and strained resources.
To address this, Persistent Systems introduced a GenAI-powered self-service analytics solution that transformed how data was accessed and analyzed. Integrated directly into the client’s internal portal, the solution enabled business users to interact with clinical data through a conversational interface. Users could simply ask questions in plain English and receive immediate, contextual answers. Behind the scenes, natural language queries were converted into SQL, retrieving relevant data from complex clinical databases. The results were then refined using GPT-4o to ensure they aligned with user intent, and visualized automatically through charts like bar, pie, and line graphs.
The platform also offered export functionality, allowing users to download insights as Excel files or PNG images for easy sharing. Telemetry logging captured session data to inform future enhancements and track usage patterns, ensuring the solution continued to evolve with user needs.
This approach delivered immediate value. Business users gained direct access to insights without relying on IT, accelerating decision-making and freeing up technical teams to focus on strategic initiatives. The domain-specific intelligence built into the NLP-to-SQL engine ensured high accuracy and relevance, tailored specifically for clinical trial data. Leveraging Persistent’s proven GenAI framework, the solution was deployed rapidly with minimal customization, offering a production-ready experience from day one.
Persistent’s deep expertise in generative AI and its ability to align technology with real-world business challenges were key reasons for the client’s choice. The result was a transformative shift in how clinical trial data was accessed, analyzed, and shared—setting a new benchmark for agility and operational excellence in healthcare research.
