Recruiting patients for clinical trials is a major challenge in drug development. Finding patients requires an in-depth understanding of their medical histories and current health statuses while the majority of patient data is unstructured and spread across physician notes, pathology, imaging, genomic, and other reports. For this reason, clinical trial recruitment is a slow and manual process.
This case study describes how Deep 6 uses the Spark natural language processing (NLP) platform to apply state-of-the-art deep learning to accurately extract the relevant clinical facts from unstructured text. These facts are then used in subsequent data science pipelines in constructing patients’ medical histories.
Deep 6 AI disrupts the clinical trial enrollment process by transforming the way researchers identify eligible patients. Using artificial intelligence and natural language processing to mine structured and unstructured patient data, DEEP 6 AI finds more, better-matching patients for trials in minutes, not months.
Deep 6 AI works with some of the most prominent health systems, pharma companies, and CROs in the world –making the DEEP 6 platform a crucial step in their clinical research workflow and greatly accelerating patients’ access to clinical trials.