Advanced analytic tools can improve safety reporting: IQVIA

The process of fitting a patient’s adverse event into standardized medical terminology can resemble putting a square peg in a round hole. Patients speak in layman’s terms, but MedDRA (the standardized medical terminology for all regulatory submissions) is more technical, and the patients, doctors, and nurses reporting aren’t versed in MedDRA coding.

Jane Reed, director of life science at Linguamatics (an IQVIA company), connected with Outsourcing-Pharma to talk about how pharmaceutical companies and their research partners are putting AI to work in order to elevate patient safety reporting, reduce manual coding processes, and cull important insights from information gathered.

OSP: Could you please tell us a bit about Linguamatics — who you are, what you do, and what sets you apart from others operating in the same sphere?

JR: Linguamatics delivers a market-leading natural language processing (NLP) based AI platform for high-value knowledge discovery and decision support from text. We empower our customers to speed up drug development and improve patient outcomes by breaking down data silos, boosting innovation, enhancing quality, and reducing risk and complexity.

Our award-winning NLP platform is proven across multiple real-world use cases. Linguamatics has been trusted for over 15 years to deliver actionable insights that address pharma’s most pressing bench-to-bedside challenges with quantifiable ROI.

OSP: Could you discuss some of the key challenges in ensuring / monitoring drug safety?

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