Scientists and researchers have never been busier. The post-Covid world is driving a high-demand for evidence-based data to support healthcare decisions. An explosion in cost-effectiveness and budget impact modeling studies means systematic literature reviews need to be conducted faster, more accurately and more efficiently while complying with specific requirements for transparency. In this session, we will explore how automated workflows can help ensure screening, classification and data management are performed faster and more accurately, streamlining the ability of researchers and decision makers to interpret these results and apply them to clinical practices.
Michael Broder, President, PHAR;
Jesse Ortendhal, Director of Health Economics, PHAR
Peter O’Blenis, CEO at Evidence Partners
Patti Peeples, President & Founder, HealthEconomics.Com, VP, Evidence & Content, Scientist.com