Richer real world data insights can drive smarter decisions.
real world data</a> to provide immediate answers for treatment decisions. </p> <p><strong>Download our case study to learn:</strong></p> <ul> <li>Details on the round-the-clock virtual meeting, including the design and execution of multiple simultaneous studies</li> <li>Results of the eight observational studies, including examination of the safety of using HCQ alone and in combination with AZM in rheumatoid arthritis patients </li> <li>Why the IQVIA study-a-thon has become a catalyst for the creation of an ongoing COVID-19 study group</li> </ul>" /> real world data</a> to provide immediate answers for treatment decisions. </p> <p><strong>Download our case study to learn:</strong></p> <ul> <li>Details on the round-the-clock virtual meeting, including the design and execution of multiple simultaneous studies</li> <li>Results of the eight observational studies, including examination of the safety of using HCQ alone and in combination with AZM in rheumatoid arthritis patients </li> <li>Why the IQVIA study-a-thon has become a catalyst for the creation of an ongoing COVID-19 study group</li> </ul>" />
Healthcare providers have an urgent need to understand the safety and efficacy of the various therapies being used to treat COVID-19. In the early days of the pandemic, the FDA had granted emergency authorization to use hydroxychloroquine (HCQ), and many providers were using it alone and/or in combination with azithromycin (AZM).
Both drugs, however, have the potential to cause life-threatening arrhythmias. There was, therefore, a critical need to know what risk the combination posed in short-term use to treat COVID-19 patients. To address this need, IQVIA experts conducted a global observational study utilizing real world data to provide immediate answers for treatment decisions.
Download our case study to learn:
Richer real world data insights can drive smarter decisions.
IQVIA is using vast quantities of data in powerful new ways. See how we can help you tap into information from past trials, patient reported outcomes and other sources to accelerate your research.