Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping 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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LEARN MOREBuilding 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.
LEARN MOREThe 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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SEARCH JOBSThere is a critical need for timely, interdisciplinary, and data-driven research to answer questions about human health, and bridge critical gaps in global healthcare systems. The Human Data Science Research Collaborative brings together evidence-based research, data, and human ingenuity to enable swift and lasting improvements.
To accelerate COVID-19 related learning, we waived data access fees for academic researchers on two IQVIA data technology platforms, E360™ and SMART.
Allen Campbell
Associate Director, IQVIA Institute for Human Data Science
Haiden A. Huskamp, PhD
Health Economist and 30th Anniversary Professor, Henry J. Kaiser Professor of Health Care Policy, Department of Health Care Policy, Harvard Medical School
Rena M. Conti, PhD
Associate Professor, Markets, Public Policy, and Law, Questrom School of Business, Boston University
Associate Research Director, Biopharma and Public Policy, Institute for Health System Innovation and Policy, Boston University
Katie J. Suda, PharmD, MS
Professor of Medicine, General Internal Medicine, Department of Medicine, University of Pittsburgh
The rapid rise, virulent spread, ongoing mitigation efforts, and ubiquitous impact of COVID-19 have been a harsh pressure test for scientists and health systems around the world. It has also been an urgent call to action, raising time-sensitive questions about the disease and its consequences.
Such questions – and many more – will require deep, broad, and high-quality data assets to answer. They also need an accelerated timeline for discussion and debate. COVID-19 has disrupted healthcare for everyone; we must understand the extent and the short and long term impact, quickly.
In an effort to support timely, sharable research, IQVIA waived data access fees for academic researchers on two IQVIA data technology platforms.
E360™ is the industry leading SaaS technology platform used to perform scalable analytics across a global portfolio of large and complex real world data sets. E360™ provides access to EMR data from France, Germany, and the UK.
SMART brings together the industry’s leading syndicated information assets onto a robust business intelligence platform. Access to SMART provides a view into national syndicated insights from prescribing, fulfillment channel, sales volumes, promotional, managed care market access as well as medical device and supply tracking.
In addition, U.S. prescription and medical claims data are available as needed to support specific analyses.
Research conducted under this collaborative is intended to be evidence based and accelerate the development and sharing of research and insights in public forums.
The IQVIA Institute for Human Data Science regularly supports empirically rigorous, policy-relevant research to improve the quality and cost-effectiveness of healthcare. Recent project topics include examinations of trends in prescription opioid use, analyses of global and U.S. drug pricing dynamics, investigations on antibiotic utilization, and explorations into the use of technology and innovation on health systems.
For updates about the Human Data Science Research Collaborative, follow the IQVIA Institute on Twitter and LinkedIn and join the IQVIA Institute mailing list.