Case Study: Intel achieves faster healthcare NLP processing with John Snow Labs Spark NLP for Healthcare

Intel speeds healthcare NLP by 116% with John Snow Labs

Intel, a global technology leader, faced the challenge of efficiently processing massive volumes of complex, unstructured healthcare data. This data, which included patient records, research reports, and clinical trial results, contained critical information locked in free-text, making it difficult for researchers and data scientists to search and analyze at scale. To address this, they worked with John Snow Labs and utilized their Spark NLP for Healthcare library to speed up automated language processing.

John Snow Labs implemented its Spark NLP for Healthcare library, which leverages Intel AI technologies and optimizations. The solution provided production-grade, scalable, and trainable NLP models specifically designed for medical terminology. This resulted in a dramatic performance increase, with benchmarks showing a 116% faster learning speed on Intel Xeon Scalable processors. The partnership delivered over a 2x speedup compared to previous generation processors, significantly lowering costs and accelerating clinical research.

Intel