Michael Broder, President, PHAR and Jesse Ortendhal, Director of Health Economics, PHAR give an overview on literature review automation in healthcare.

Scientists and researchers have never been busier. The post-COVID-19 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.

Watch to explore how automated workflows can help ensure screening, classification, and data management are performed faster and more accurately, streamlining the ability for researchers and decision makers to interpret these results and apply them to clinical practices.

Presenters

President
Partnership for Health Analytic Research (PHAR)

Dr. Michael Broder has 30 years' experience in health economic and outcomes research. He has conducted dozens of expert panels on a wide variety of topics. In addition to being an experienced health services researcher, he is a board-certified physician and provides clinical expertise for many studies at PHAR.

Director
Health Economics
Partnership for Health Analytic Research (PHAR)

Jesse Ortendahl has a background in mathematics and statistics and has 20 years’ experience developing disease simulation models for economic evaluations. At PHAR, Jesse conducts and oversees health economic projects using both quantitative and qualitative methods. In addition to traditional cost effectiveness and budget impact models, Jesse has led studies with more policy-relevant goals, such as identifying flaws in current health technology assessment approaches, forecasting the burden of disease and potential policy levers to reduce that burden, and estimating the ramifications of payer policies on cost and clinical outcomes. His work spans a wide range of clinical areas including oncology, cardiology, pulmonology, neurology, and psychiatry.

Production Partner

DistillerSR

DistillerSR is the market leader in AI-enabled literature review automation software. More than 300 of the world’s leading research organizations, including 60% of the largest pharmaceutical and medical device companies, contract research organizations, governments, NGOs, and academic institutions trust DistillerSR to securely produce transparent, audit-ready, and regulatory compliant literature reviews faster and more accurately than any other method. As a result, healthcare researchers can produce more informed and time-sensitive health policies, clinical practice guidelines, and regulatory submissions.

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