Extracting Adverse Events from Unstructured Medical Text with Deep Clinical NLP

Core clinical engineering and protocols for MedDRA Auto-Coding.

The Challenge of Unstructured Patient Feedback

Spontaneous reports from patients and family members rarely use formal medical terminology: a patient may describe 'a heart that flutters like a hummingbird', which corresponds to the clinical term palpitations. Manual medical coding creates massive backlogs.

Domain-Tuned Clinical Language Models

PharmacoPlatform utilizes clinical language transformers trained on medical dictionaries and pharmacovigilance corpora. The model extracts verbatim symptoms, determines whether they are affirmed or negated, and proposes exact MedDRA Lowest Level Terms (LLT) and Preferred Terms (PT) with calibrated confidence scores.

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