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Impacting People's Lives

"We strive to help improve outcomes and create a healthier, more sustainable world for people everywhere.

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Harness the power to transform clinical development

Reimagine clinical development by intelligently connecting data, technology, and analytics to optimize your trials. The result? Faster decision making and reduced risk so you can deliver life-changing therapies faster.

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Real World Evidence. Real Confidence. Real Results.

Generate and disseminate evidence that answers crucial clinical, regulatory and commercial questions, enabling you to drive smarter decisions and meet your stakeholder needs with confidence.

REAL WORLD EVIDENCE OVERVIEW
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See markets more clearly. Opportunities more often.

Elevate commercial models with precision and speed using AI-driven analytics and technology that illuminate hidden insights in data.

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Service driven. Tech-enabled. Integrated compliance.

Orchestrate your success across the complete compliance lifecycle with best-in-class services and solutions for safety, regulatory, quality and medical information.

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Intelligence that transforms life sciences end-to-end.

When your destination is a healthier world, making intelligent connections between data, technology, and services is your roadmap.

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Advance your patient engagement strategy

Discover new patient engagement possibilities with IQVIA insights, expertise, and technology-driven solutions.

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Explore our library of insights, thought leadership, and the latest topics & trends in healthcare.

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THE IQVIA INSTITUTE

An in-depth exploration of the global healthcare ecosystem with timely research, insightful analysis, and scientific expertise.

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INSTITUTE REPORT

"Global Trends in R&D 2024

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EMEA Insights

"IQVIA thought leadership with a focus on EMEA.

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WHITE PAPER

"DCTs Deliver Big ROI

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WHITE PAPER

"Capturing value at scale: The $4 billion RWE imperative

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  • IQVIA Connected Intelligence™
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  • Decentralized Trials
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Unlock your potential to drive healthcare forward

By making intelligent connections between your needs, our capabilities, and the healthcare ecosystem, we can help you be more agile, accelerate results, and improve patient outcomes.

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IQVIA AI is Healthcare-grade AI

Building on a rich history of developing AI for healthcare, IQVIA AI connects the right data, technology, and expertise to address the unique needs of healthcare. It's what we call Healthcare-grade AI.

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Your healthcare data deserves more than just a cloud.

The IQVIA Human Data Science Cloud is our unique capability designed to enable healthcare-grade analytics, tools, and data management solutions to deliver fit-for-purpose global data at scale.

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Innovations make an impact when bold ideas meet powerful partnerships

The IQVIA Innovation Hub connects start-ups with the extensive IQVIA network of assets, resources, clients, and partners. Together, we can help lead the future of healthcare with the extensive IQVIA network of assets, resources, clients, and partners.

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Proven, faster DCT solutions

IQVIA Decentralized Trials deliver purpose-built clinical services and technologies that engage the right patients wherever they are. Our hybrid and fully virtual solutions have been used more than any others.

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IQVIA Patient Experience Solutions powered by Apple

Empowering patients to personalize their healthcare and connecting them to caregivers has the potential to change the care delivery paradigm. IQVIA and Apple are collaborating to bring this exciting future of personalized care directly to devices patients already have and use.

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Advancing Drug Safety With Natural​ Language Processing (NLP)

Advancing Drug Safety With Natural Language Processing (NLP)

Pharmaceutical organizations are facing a safety data problem. The volume of safety information is growing, leading to unsustainable increases in the costs of traditional safety operations.

IQVIA NLP transforms safety-relevant unstructured text (from case reports, literature, call center feeds, drug labels, regulatory approvals and more) into actionable structured data that can be rapidly analyzed for safety vigilance at every stage through the safety lifecycle of a drug.

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Solutions Real World Evidence Natural Language Processing Advancing Drug Safety With Natural​ Language Processing (NLP)
Dispensing capsules

Harness your internal and external safety data

Across the whole span of drug development, safety-relevant data is being both generated and sought from unstructured text. Applying innovative technologies, such as AI, across these data can speed up safety processes and decision support

Natural language processing (NLP) text mining can optimize safety platforms and lower development costs. NLP can be applied in many areas across the safety life cycle of a drug with key areas such as:

  1. Better access to information for safety assessment, providing a rich landscape of safety-relevant data sources
  2. To reduce manual effort in safety case processing with tagging and medical coding (e.g. to the Medical Dictionary for Regulatory Activities - MedDRA) of adverse events.
By 2023, 60% of the top 100 life science companies will use AI augmentation in one or more safety vigilance solutions
GARTNER REPORT: Jeff Smith, “Life Science CIOs Reduce Runaway Costs With Innovative Safety Vigilance Technology”. March 2021

Illuminating drug safety insights with NLP

Explore each drop down to the right to learn more about the key capabilities of NLP for drug safety.

IQVIA Safety Intelligence Hub

Understanding the safety landscape around any drug, adverse event (AE) or drug target is important, from initial therapeutic target selection through to post-market surveillance. 

The IQVIA Safety Intelligence Hub integrates the right content (including literature, drug labels, FDA regulatory approval packages) with ontologies, intuitive queries and easy-to-use searches, to get you rapidly and effectively to the information you need.

Auto-coding Adverse Events to MedDRA

Adverse event reports are usually provided by a reporter in natural language which needs to be transferred (coded) into a standardized format to allow database processing. Most of this coding is manual and time consuming. 

NLP speeds up coding of adverse events to MedDRA, improving coding consistency, in a reliable and repeatable process that decreases manual workload.

Our NLP solution for adverse events and MedDRA coding can be accessed on the cloud via APIs or embedded into your safety platform.

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NLP to Support Adverse Event Detection and MedDRA Coding in Post-Market Safety Case Processing

Pharma companies need to screen huge volumes of reports for potential AEs for drugs on the market, from patients in the real world. Within pharmacovigilance workflows, reports are received from many sources—call center feeds, emails, regulatory AE reports and more. These are often in everyday language, and need to be coded to a standardized form to allow database processing. For adverse events, MedDRA must be used. Most MedDRA coding is manual and time consuming. Only when the verbatim exactly matches a MedDRA term is coding automatic. For example, a verbatim might read: “I really got ill the other day, had a horrible headache and couldn’t sleep for two days.” “Headache” has an exact match in MedDRA, so can be auto-encoded, but “couldn’t sleep” is not a MedDRA term and so has to be manually coded to “sleeplessness.” IQVIA worked with CSL Behring to develop an NLP workflow that doubled the level of auto-coding (from only 30% of AEs to over 60%). Use of NLP improved coding consistency, and can reduce risk for case processing and medical evaluation.
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NLP to Support Contextualization of Safety Signals

AstraZeneca wanted to understand the risk potential of a particular safety signal, neutropenia, to translate from preclinical to clinical. Building an understanding of the landscape around drugs causing neutropenia would enable them to build predictive models. However, data on drugs reported to cause neutropenia in humans and model animal species are buried in scientific literature and other textual sources. They used NLP to mine scientific abstracts and clinical trial reports to find evidence of drugs causing the condition, specifically searching for drug and condition in phrases with a suitable verb (looking for causality).

IQVIA NLP enabled them to build queries that looked for modifiers (e.g. drug-induced, transitory, severe, prolonged) and also species information (e.g. rat, mouse, dog, human). This rich landscape of structured data was used to feed predictive models, and enabled the understanding of risk at the preclinical stage, before clinical trials began

NLP to Enhance the Searchability of Internal Preclinical Toxicology Safety Reports

There is a wealth of valuable information in legacy preclinical safety reports. Locked away in these historical data are answers to questions such as: Has this organ toxicity been seen before? In what species, and with what chemistry? Many pharma organizations use document repositories to store their preclinical tox studies, but the search functionality of many of these document management systems is limited, hindering access. At Lilly, they use IQVIA NLP to enable rapid effective searches over the toxicology reports. The intuitive NLP web portal allows scientists who aren’t experts in NLP to run effective searches and pull back the data and documents of interest, for downstream review and analysis.
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NLP for Clinical Safety at Agios Pharmaceuticals

Agios Pharmaceuticals says that it “uses [IQVIA] NLP to get decision support as fast and as comprehensively as possible.” They applied NLP in clinical safety workflows to mine AE reports and assist with coding of reported events and WHO drugs. In a specific case, Agios explored the risk of a rare, yet potentially life-threatening AE, Differentiation Syndrome, in patients on a clinical trial for Agios’ IDH-1-inhibitor AG120. NLP was used to extract key information from Serious Adverse Event Report Forms, enabling a 10-fold decrease in time taken to process the forms. The resulting data visualizations enabled clinicians to explore the patterns of symptoms between patients and, critically, to identify those at risk of the potentially fatal AE.
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Fact Sheet
NLP text analytics for Regulatory Affairs

Reduce costs and speed compliance across labeling, regulatory changes and master data management
Fact Sheet
Generating Clinical Trial Design Insights using Natural Language Processing

Improve efficiency 10-100x and enhance key decision making support
Case Study
How a Top-10 Pharma Creates Clinical Trial Benchmarks with NLP
Case Study
Fast-Tracking Clinical Trials

The IQVIA NLP platform enabled Eli Lilly and Company to assist in the design of new clinical trials and increase speed to business insight
Blog
Drug Safety Landscapes – Painting the Picture with Natural Language Processing
By: Jane Reed
Fact Sheet
Advancing Drug Safety With Natural Language Processing (NLP)
Fact Sheet
IQVIA Safety Intelligence Hub

Self-service access to landscape of safety information, powered by NLP
Case Study
How CSL Behring uses Natural Language Processing to Improve MedDRA Coding
Webinar
Natural Language Processing innovations for drug safety in Pharma
September 13, 2022
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