Human Data Science Research Collaborative

Human Data Science Research Collaborative

There 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.

Human Data Science Research Collaborative: Research in the era of COVID-19

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

Press Release
Hear from academic collaborators who are already taking advantage of this extraordinary opportunity.

A new disease raises new questions

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. 

  • What are the socio-economic and mental health impacts of stay-at-home policies? 
  • What will be the downstream impact of missed preventative care for chronic diseases?
  • Is there a difference in quality of care measured by outcomes or complications for patients utilizing telehealth compared with in-person visits?
  • What data infrastructure is required to better understand health system demands in 2021 and beyond under different scenarios?

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. 

An extraordinary opportunity

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.

Collaborating beyond COVID-19

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.  

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