THE FUTURE IS AGENIC

IQVIA launches new AI agents for life sciences and healthcare

Our AI agents are custom-built developed specifically for life sciences to help you reach new levels of productivity, efficiency, and automation. Transform processes with agentic AI so you can focus on what matters most to your business and to patients.
IQVIA AI

IQVIA Healthcare-grade AI®. AI you can trust.

IQVIA AI is intelligence engineered to meet the level of precision, speed, and trust required for life sciences and healthcare.
IQVIA AI

Powered by IQVIA Connected Intelligence™

From unparalleled data to deep healthcare expertise, critical connections enable AI with new levels of speed, precision, reliability, and scale. 
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IQVIA Healthcare-grade AI®

AI engineered for life sciences

Smarter

Better trained. IQVIA AI is trained to make the most of any data source including our extensive industry-leading data assets, your data, or a combination of data sources.

Connected

Powered by IQVIA Connected Intelligence™. Making AI work for life sciences means bringing together the right data, analytics, and expertise to achieve its objectives.

Trusted

Built for you. Backed by our approach to privacy and security, with experts-in-the-loop, IQVIA AI is engineered to deliver for life sciences and healthcare.

AI engineered for life sciences & healthcare

Everything we do in our industry ultimately has an impact on patients, so it’s imperative that we deliver AI that’s built on a foundation of unparalleled data, expertise, and trust.

With IQVIA Healthcare-grade AI®, we’re building on our rich history of deploying AI to connect the right data, technology, and expertise to address the unique needs of each challenge we help our customers solve.

IQVIA AI

IQVIA teaming up with NVIDIA to enable the agentic AI future in life sciences

This collaboration will create new ways for customers to accelerate their efforts to get treatments to patients faster and help improve outcomes.
IQVIA AI is trained on high-quality data and deep domain expertise. This allows us to connect disparate pieces of healthcare data, from multiple sources, and generate reliable insights that can increase efficiency and accelerate innovation. This enables our customers to lead the industry in exciting ways—from identifying patients at the earliest stage of disease, to developing new and more effective treatments, to helping people live longer, healthier lives.
Advances in science, technology, and healthcare are converging to enable never-before-seen innovations that have the potential to revolutionize patient outcomes. At IQVIA, we are making this potential a reality, and are committed to going beyond the hype to ensure we’re taking a responsible approach, backed by scientific rigor, to get results that change people’s lives for the better. 
Raja Shankar
Head of AI and Tech Consulting, EMEA
Christina Mack
Chief Scientific Officer, Real World Solutions

IQVIA AI

Accelerate insights with IQVIA AI Assistant

IQVIA AI Assistant is a powerful generative AI tool that lets you interact with our solutions and products like never before. Ask questions, analyze data, and get insights you can trust in moments instead of hours or days.

With an extensive history of applying AI to solutions for life sciences and healthcare, we continue to build on our expertise by leveraging new technologies to ensure we’re getting the best results for you, and ultimately for patients.

CASE STUDIES

Improving patient outcomes and closing care gaps

IQVIA is working with life sciences companies, governments, and non-profit organizations to power smarter healthcare with advanced AI capabilities.

Iqvia Human data science

Closing care gaps with Social Determinants of Health (SDoH)

Challenge: Social factors such as employment status, financial situation, or stress are useful predictors of health outcomes but are often only captured in unstructured physician notes. For example, NorthShore University HealthSystem found only 0.1% of patient records had these fields completed.

Solution: IQVIA assisted NorthShore with the use of Natural Language Processing (NLP) to assess that unstructured data across multiple sources.

Results: NorthShore is now able to help close care gaps by identifying and screening 56% more at-risk patients. In one example, they were able to identify at least one SDoH risk factor in 30% of their patient population (up from only 0.1%). 
Elderly man with cane chatting with female nurse

Reducing risk of stroke for AFib patients

Challenge: Atrial Fibrillation (AFib) patients are 5x more likely to have a stroke. IQVIA partnered with the UK National Health Service to reduce AFib related strokes through identifying at-risk patients.

Solution: The risk of stroke for AFib patients was predicted using EMR data including age, gender, and clinical risk factors  (e.g. Congestive Heart Failure, Hypertension, Stroke/Transient Ischemic Attack, Diabetes, Vascular Disease). 

Results: Annul strokes reduced by approximately 22% during the implementation phase compared to the prior period. This also led to an estimated reduction in healthcare costs amounting to an annual savings of approximately $2m. 
Father and children having breakfast in kitchen

Improving care for patients with Type 1 Diabetes

Challenge: Nearly 40% of adults with Type 1 Diabetes are initially misdiagnosed with Type 2. IQVIA worked with the Juvenile Diabetes Research Foundation (JDRF) to identify Type 1 patients most likely to be misdiagnosed.

Solution: IQVIA developed an AI algorithm on EMR data, to identify misdiagnosed Type 1 among patients with Type 2 at different points in the patient’s treatment journey.

Results: Inputs into the AI algorithm are routinely collected in EMR data – thus  available within any Healthcare Organization (HCO) providing opportunity to deploy the program at scale. The algorithm is currently being prospectively validated at 4 US HCOs testing 2 different scaling paths.

Enhancing routine care for diabetes and CVD

Challenge: The government of one Middle East country is investing in AI to make better healthcare decisions in the diagnosis and treatment of both diabetes and cardiovascular disease. 

Solution: IQVIA developed 14 decision support tools that can be used by physicians to help guide screening, improve preventative care and optimise disease management. 

Results: The program is being delivered by a cross-functional team of local and global IQVIA experts over a three year period.

Identifying patients at risk for respiratory disease

Challenge: A client launched a new product to treat respiratory disease. They needed help identifying patient cohorts with this specific unmet need to then reach physicians most likely to have these patients.

Solution: IQVIA deployed the AI/ML Platform capability to identify and profile eligible patient populations with unmet needs. The patients were profiled based on sub-national concentration, demographics and other clinical drivers, with focus on physicians treating them.

Results: Patients predicted for high likelihood to have respiratory disease with 86% precision, while removing approximately 30% of non-target patients from the target population data. Furthermore, a 6-month analysis of patients on this new treatment showed a 17% reduction in uncontrolled disease status.

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IQVIA and HEALTHCARE-GRADE AI are trademarks of IQVIA Inc.
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