Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
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Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn more
Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn more
Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn more
"We strive to help improve outcomes and create a healthier, more sustainable world for people everywhere.
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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.
Research & Development Overview
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.
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Elevate commercial models with precision and speed using AI-driven analytics and technology that illuminate hidden insights in data.
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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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When your destination is a healthier world, making intelligent connections between data, technology, and services is your roadmap.
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Discover new patient engagement possibilities with IQVIA insights, expertise, and technology-driven solutions.
Patient Engagement OverviewExplore our library of insights, thought leadership, and the latest topics & trends in healthcare.
DISCOVER INSIGHTSAn in-depth exploration of the global healthcare ecosystem with timely research, insightful analysis, and scientific expertise.
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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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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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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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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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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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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.
LEARN MOREOur mission is to accelerate innovation for a healthier world. Together, we can solve customer challenges and improve patient lives.
LEARN MORECareers, culture and everything in between. Find out what’s going on right here, right now.
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"Improving human health requires brave thinkers who are willing to explore new ideas and build on successes. Unleash your potential with us.
SEARCH JOBSThe advancement of data technology and its capabilities is taking place at an incredible speed. Life sciences organizations can unlock new opportunities to gain insights by effectively managing complex data sets through creative modeling. To handle the vast amounts and diverse types of data from an increasing number of sources, a fully integrated Master Data Management (MDM) system at the core is imperative.
One of the most impactful recent technological trends, which for many companies is still unfolding, is the transition from multichannel to omnichannel operations. While access to new data and technology made multichannel engagement possible, individual channels and the departments using them remained fragmented and siloed. Inevitably, isolated data sets being used for isolated channels produced a disjointed, disharmonious engagement experience. The need to improve engagement engendered the need to:
Successfully implementing these three functions enables the transition from multi- to omnichannel operations; and from uncoordinated to coordinated interactions. Companies that have fully made this transition have already gained a massive competitive advantage.
Effective omnichannel engagement empowers organizations to:
It’s important to note that as technology, and specifically artificial intelligence (AI) and large language models (LLMs) continue to evolve, establishing a well-organized and well-functioning omnichannel solution built upon a superior MDM platform will be an absolute necessity.
The next stage in the evolution of life sciences data technology is already being integrated by disruptors and early adopters from both pharma and medical technology companies. Many future possibilities have not even been imagined, but today’s preliminary iterations already reveal that generative AI (GenAI) can significantly accelerate many data-driven tasks. A 2023 McKinsey article, “The Data Dividend: Fueling Generative AI,” suggests data management is a key enabler for generative AI applications.
Another clear and impactful change is that AI combined with tailored LLMs can greatly expand the capabilities and value of data with their cumulative ability to ingest, process and leverage unstructured data from previously untapped sources like online chats, customer text, email and phone exchanges, videos, code, and a rapidly growing list of touchpoints. And as data professionals become increasingly proficient in feature engineering, improved machine learning and model training will rapidly gain greater levels of accuracy and provide deeper levels of insights.
A close examination of the effectiveness of any AI use case will always produce the same conclusion – there is a direct relationship between the quality of the input data and the capabilities and effectiveness of generative AI’s output.
McKinsey Data and AI Summit 2022
As the power and capabilities of data technology continue to explode, the need for data management excellence becomes exponentially more vital. For companies that have yet to invest in an effective MDM, or need to rework an outdated MDM strategy, now is the time to put a robust MDM strategy in place. Just as it would be impossible to attempt complex math equations without first learning to add and subtract, the prospect of managing and processing the quantities and varieties of data made possible with generative AI and LLMs will become virtually unthinkable without a solid MDM foundation established to facilitate feature engineering for selecting and transforming the variables that drive the models.
Connect data across your organization with master data management and data warehouse capabilities, and transform the way you make business decisions.
A purpose-built life sciences information management solution leveraging a multi-domain approach to manage enterprise data for consistent, reliable and faster access to insights.
Rapidly connect siloed data networks to drive deeper, centralized insights and enable better decision making.
