Sean D. Candrilli, PhD, Provides Insight on Real-World Data Research to Duquesne University Graduate Student

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Why the focus on real-world data in pharmaceutical, biotech, and medical device research?

According to Sean D. Candrilli, PhD, a Head of Health Economics at RTI-HS, it’s because companies seek to address a wide-range of non-interventional research questions—in addition to clinical trials—that will help them make better decisions about their products.

For example, real-world data can be used to answer questions about clinical and economic burden of illness, health care resource utilization and costs, treatment patterns, treatment adherence and persistence, comparative effectiveness, and indirect costs. These studies give companies a more complete picture about how their products are or could be used in the real world and associated impacts.

Dr. Candrilli provided an overview of health economics services, including real-world data needs and designs, and fielded questions during a Duquesne University Graduate Student Pharmacoeconomics Seminar in March.

He shared that there has been a noticeable increase in interest in chart review analyses, as data drawn from such studies can provide a rich source of data that often cannot be found in other data sources. Additionally, chart data can be linked to other patient data such as patient surveys, further enhancing the breadth of information that these studies can provide.

For additional information or to discuss a potential real-world data study, please contact Dr. Candrilli via the link below.

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