IQVIA AI

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From unparalleled data to deep healthcare expertise, critical connections enable AI with new levels of speed, precision, reliability, and scale. 
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    AI designed for healthcare & life sciences

    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 Healthcare-grade AI®

    IQVIA partnering with NVIDIA to accelerate Healthcare-grade AI®

    This collaboration will create new ways for customers to accelerate their efforts to improve patient 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

    Generative AI

    Meet your new 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.
    Publication
    Boosting healthcare capacity with AI
    Hear from IQVIA experts Aurelio Arias and Sarah Rickwood on how AI in healthcare could bridge a significant capacity gap.

    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.

    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%). 

    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. 

    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.

    Responsible AI

    We work with partners globally to responsibly advance AI

    Dedicated to privacy, security, trust

    Protecting patients and organizations is our priority. We have internal teams advising on and dedicated to ensuring the highest standards of privacy.

    Commitment to regulatory alignment

    We work with organizations like the World Economic Forum to help shape global AI policy and regulations and regularly publish materials on best practices.

    Driving & adhering to global data standards

    Driving data standards across the industry and adhering to standards like FAIR Principles is critical to reliable and responsible use of data.

    Contributing to the development of AI

    IQVIA is committed to advancing the latest thinking on AI. With an intellectually rigorous approach, we have published more than 200 AI scientific publications to date.

    Related solutions

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