Linguamatics NLP platform enables rapid adverse event understanding from clinical trials
Identifying serious adverse events (SAEs) during clinical trials is a critical part of patient monitoring, and Agios wanted to enable a more rapid response to SAEs. These forms can be in image or PDF format, and manual extraction of the key patient data is slow and error-prone. Agios developed a workflow to process the Serious Adverse Event (SAE) report forms, using Linguamatics NLP platform to extract all relevant patient data. The workflow steps included:
- OCR of the image SAE reports to render the data accessible
- Indexing all documents with ontologies such as MeSH, MedDRA, WHO Drugs to normalize and code the data attributes
- Using Linguamatics NLP platform queries to extract study drug, concomitant medications, adverse events, date of onset, lab test results and other key patient attributes
- Loading the data into a clinical safety database for rapid access
Identification of at-risk patients with network visualisations
A specific clinical example explored the risk of a rare (potentially life-threatening) adverse event, Differentiation Syndrome (DS) in patients on a clinical trial of Agios’s IDH1-inhibitor AG120. DS is a complication of first-line chemotherapy in some Acute promyelocytic leukemia (APL) patients, which can be fatal if not recognized on time and treated aggressively.