MicrosoftProductionEvidence: Medium65/100

Almirall accelerates pharmaceutical research efficiency with AI-powered automation

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.

Organization
Almirall
Industry
Pharma
Location
Spain
Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Accuracy: 90%

benelux.nttdata.comNews articleInferred claimMedium evidence strength

Achieved over 90% accuracy answering medical queries from research literature.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Almirall
Provider
Microsoft
Maturity
Production
Linked source
benelux.nttdata.com

Operational inefficiencies hindering research productivity

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

  • 1AI-powered medical literature question answering
  • 2Automated semantic search and data extraction from research papers
  • Deploy Azure OpenAI Service for question answering and semantic search over medical research papers.
  • Use NTT DATA's automation platform for document pre-processing, AI model training, and information extraction.
  • Automate data population and accelerate information retrieval from indexed content.
Technologies
  • Accelerated research data retrieval and significantly reduced manual workload.
  • Reduced errors and improved reliability of extracted information.
Architecture

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.

Implementation partners1
Sources & evidence1
Evidence: Medium65/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Independent source available
  • Quantified outcome available
  • Technical implementation details available
Type: News ArticlePublisher: benelux.nttdata.comEvidence: SecondaryConfidence: Low

AI-generated summary. Verify important details with the linked sources before relying on this case.

Explore related AI use cases

Was this useful?

Community

Comments

No published comments yet.