Ohja.ai developed a fully automated AI-powered service, accessible via Application Programming Interface (API), that integrates seamlessly into Interrogare’s digital questionnaires through simple HTTP calls.
The solution works autonomously, ensuring that every free-text response is instantly analyzed within the context of the research field. Whenever additional detail is needed, the system generates targeted follow-up questions designed to elicit richer, more actionable answers—perfectly aligned with Interrogare’s commitment to methodological rigor and innovative research methods.
Real-Time Analysis: Each submitted free-text response is immediately evaluated. Using a combination of advanced rule-based criteria (such as minimum text length or presence of keywords) together with state-of-the-art Large Language Models (LLMs), the service classifies physician responses as either sufficient or requiring follow-up.
Dynamic Follow-Up Generation: When a response is deemed to require follow-up, the API generates context-specific additional questions. These follow-ups are crafted to meet Interrogare’s stringent quality standards, ensuring that the collected data is both meaningful and usable for their healthcare clients.
Follow-Up on Equal Footing: A key requirement for physician acceptance was that follow-up questions be formulated with medical accuracy and professional relevance. The system therefore accounts for both the specific disease and medication being discussed, as well as the respondent’s own wording. Handling domain-specific terminology was essential, as general-purpose LLMs are not trained on specialized medical language.
Seamless Integration: The custom-built API was designed for effortless integration into Interrogare’s IT infrastructure. By leveraging a REST interface, the AI-based enhancement could be embedded directly into digital questionnaires, operating autonomously and delivering results within seconds—without manual intervention and fully aligned with Interrogare’s full-service capabilities.
Data Privacy & Compliance: All data processing and cloud hosting take place within the EU and strictly comply with European data protection regulations. Communications and data storage adhere to the highest security standards, particularly in cases where personally identifiable information (PII) may appear in free-text responses—an essential consideration for Interrogare as a healthcare market research institute.
The cloud service was designed to function independently and at scale:
REST API Integration: Interrogare’s questionnaires send real-time HTTP requests to the service. Each call processes a free-text response, returns a classification, and—if necessary—a tailored follow-up question.
Hybrid Analysis and Generative AI in Real Time: The system combines heuristic methods with LLM-based classification to assess response quality. Additional contextual data (such as domain-specific terminology) are incorporated to refine the analysis and guide the generation of follow-up questions. The generative component includes safeguards to prevent inappropriate output. To ensure a smooth survey experience, model selection and invocation were optimized so that even with follow-up generation, average response time remains below 1.5 seconds.
Cloud Deployment with Cost-Efficient Scalability: The service is hosted in “serverless” container deployments within the EU, ensuring GDPR compliance. This setup enables automatic scaling based on demand, with consumption-based pricing: additional service instances spin up as demand rises, and scale back during low-usage periods.
Enhanced Data Quality: By automating both evaluation and enrichment of free-text responses, the service significantly increased the depth and relevance of collected data. According to Interrogare’s own analysis, in 90% of cases classified as requiring follow-up, the generated questions led to more meaningful physician responses.
Higher Yield of Valuable Responses: Improved response quality directly translates into stronger, more reliable research results. Interrogare’s pharmaceutical clients benefit from deeper insights across product development, communication strategies, and critical market access decisions.
Effortless Scalability: The fully automated, API-driven integration allows Interrogare to extend the solution across additional online studies without added complexity or intensive manual oversight—strengthening their position as an innovative research partner delivering modern, flexible, and tailored solutions.
Our collaboration with Interrogare demonstrates how a fully automated AI service can revolutionize data collection in healthcare market research. By embedding seamlessly into existing IT systems and operating autonomously, our solution not only improves the quality of free-text responses but also elevates overall data quality—delivering clear, actionable insights without compromising the user experience.
This case study highlights how AI can enhance methodological excellence and support customer-oriented research solutions.
The entire team at Ohja.ai not only supported us with AI from the very beginning, but truly inspired us. They don't just provide solutions; they dive deep into topics, understand, think along with you, and customize at its best. A very special project for us was the automated follow-up questions in online studies with physicians – this required not only understanding technical vocabulary and medical abbreviations, but also evaluating the substance of a statement in real-time and, if necessary, formulating a meaningful follow-up question. This feature is absolutely unique in the industry and impresses not only us but also our clients in the pharmaceutical sector—and delivers essential added value. Thank you Ohja.ai, we look forward to this great collaboration and to all the projects to come!
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