IQVIA NLP Platform logo

IQVIA NLP Platform

Transforms unstructured data into actionable insights quickly and accurately for the life sciences sector.

Solution by IQVIA Inc.
Visit website

Overview

The IQVIA NLP Platform is a sophisticated natural language processing solution that facilitates the transformation of unstructured text into structured data, enabling organizations to extract valuable insights swiftly and accurately. Widely utilized by top pharmaceutical companies, healthcare organizations, and government agencies such as the FDA, this platform empowers users to uncover otherwise inaccessible information efficiently.

By automating the reading and normalization of documents, the platform expedites processes that typically take hours, delivering results in mere minutes. This capability not only enhances the richness of data insights but also provides a substantial competitive edge.

Key Benefits

  • Processes over 12,000 documents per second, improving data management efficiency.
  • Speeds up clinical endpoint extraction by 12 times.
  • Achieves 95% accuracy in extracting symptoms of worsening heart failure.
  • Reduces required chart review by up to 99% for specific patient identification.
  • Accelerates phenotype curation by 70 times.

The platform's flexible web services allow for programmatic access, enabling users to create custom interfaces for differing projects. This flexibility extends to queries, which can be executed across multiple data sources locally or in the cloud, providing immediate access to summarized knowledge with supportive visualizations.

Furthermore, the platform supports interactive refinement of queries and integrates human-assisted review, boosting the efficiency and accuracy of medical record reviews significantly. By combining healthcare-grade AI with clinical expertise, IQVIA NLP maximizes operational efficiency and supports strategic healthcare initiatives.

Meta

Category
Scientific Data Infrastructure
Field(s)
Scientific IT & IntegrationClinical & Trials
Target user(s)
Bioinformatician / Data ScientistClinical / Diagnostic Professional
Tag(s)
AI