Normalized claim
Accuracy: 90%
Achieved over 90% accuracy answering medical queries from research literature.
Almirall, a leading pharmaceutical company, faced significant challenges in manually reviewing medical research papers to extract relevant information, resulting in a time-consuming and error-prone process. NTT DATA designed and implemented a platform for Almirall that leverages Microsoft Azure OpenAI Service to provide advanced question-answering and semantic search capabilities for medical literature. The platform automates the extraction of pertinent data, enabling researchers to ask scientific questions and get accurate answers from a vast array of real-world evidence papers. By pre-processing and indexing research articles and automating spreadsheet data population, Almirall's research teams benefit from much faster data retrieval and significantly reduced human errors. Azure OpenAI models used in the solution reach over 90% accuracy in responses, modernizing how pharmaceutical knowledge is managed and driving industry transformation. Almirall’s partnership with NTT DATA and Microsoft not only supports advanced research but also positions the company as a leader in digital health innovation. The collaboration demonstrates the substantial value of integrating AI and cloud solutions in pharmaceutical research for global competitiveness.
Normalized claim
Accuracy: 90%
Achieved over 90% accuracy answering medical queries from research literature.
Operational inefficiencies hindering research productivity
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NTT DATA’s automation platform integrates Azure OpenAI Service to pre-process, index, and semantically search large volumes of medical papers. Automated pipelines extract relevant textual content, power question answering, and deliver formatted results to end-users, supporting real-time scientific inquiry and workflow automation.
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