Clinical data was trapped in unstructured text. An NLP model standardized 76,000 reports in two months—300x faster than manual review.
Two centers of excellence for oncology and cardiology serving 1.7 million patients and managing a repository of 37 million laboratory analyses.
Valuable clinical data was trapped in unstructured medical reports, making it difficult to aggregate information for scientific research. Staff...
“We took advantage of such an initiative to structure a Natural Language Processing (NLP) model. We built a proprietary model using the Vertex AI to train and bring it into production. The task took us about 45 days.”
Specialized cancer and cardiovascular research hospital and treatment center.
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