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.
REAL WORLD EVIDENCE OVERVIEW
Elevate commercial models with precision and speed using AI-driven analytics and technology that illuminate hidden insights in data.
COMMERCIALIZATION OVERVIEW
Orchestrate your success across the complete compliance lifecycle with best-in-class services and solutions for safety, regulatory, quality and medical information.
COMPLIANCE OVERVIEW
When your destination is a healthier world, making intelligent connections between data, technology, and services is your roadmap.
TECHNOLOGIES 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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Your new expert analyst is here. Be at the forefront of data-driven decision-making with a new generative AI tool that enables you to interact with our products and solutions like never before. Get results you can trust, faster.
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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.
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 JOBSIn drug development, there is a critical focus on protocol design, because it is a key component to running a successful clinical trial. And, in traditional trial design, developing a data management strategy often comes after the protocol is finalized. This can leave study teams juggling between operationalizing the protocol and mapping out optimal data collection and flow in parallel. In today's complex trial landscape, streamlining planning and processes is top of mind for all stakeholders, and accounting for a thorough data management strategy earlier in trial planning is one key way for trial sponsors and study teams to heighten efficiencies.
For one, as the industry emphasizes the value of patient-centered drug development, we see the value of data insights made available to us due to the increased use of connected devices, wearables, electronic diaries and other decentralized trial solutions. Add the ability of advanced artificial intelligence-driven methodologies to extract meaningful insights from lab work, patient-reported data and imaging, and the breadth of data available within one study can grow exponentially.
By reviewing multiple data points from various sources and angles, we can capture richer insights and patient behavioral trends to inform smarter decisions in drug development, but this happens with intent, not by accident. Given the massive amounts of data acquired in clinical tests, it is simply not efficient to manually collect, monitor, clean and analyze large data volumes without a meaningful data strategy. To ensure data insights are appropriately leveraged to inform decisions with patient safety and data quality in mind, sponsors and clinical research organization partners must define the data strategy before protocol design. This strategy will map out optimal data collection from a growing mix of traditional and digital data sources during trial planning, including the notable considerations for managing data flow
Explore our end-to-end, full service clinical development capabilities including Therapeutics expertise, Development Planning, Phase I early clinical development, Phase IIb/III and Phase IV Trials, Regulatory Submission and Post-Launch Studies.
Change the model of clinical research by integrating data, expertise, analytics and technology from study design through execution to power better decisions.
Improve the performance of your clinical trials with the power of the IQVIA CORE.
Ensure you have access to insights early with connected devices and clean, analysis-ready data
