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Learn how to use unstructured data for research and analysis. Understand and overcome the primary challenges that hold back widespread accessibility.

Learn how to connect disparate datasets, explore common challenges when running overlaps, and get advice on how to overcome challenges.

Learn how to connect disparate datasets, explore common challenges when running overlaps, and get advice on how to overcome challenges.

From Pharma to CROs to real-world evidence generation platforms, compliantly accessing medical records for your project can be challenging.

As a life sciences researcher, we know that you face significant challenges when it comes to advancing precision drug discovery.

The University of Texas at Austin, Dell Medical School, the local Health Information Exchange Connxus and findhelp, a social care referral platform, collaborated to create an innovative platform that links, displays, and contextualizes data across clinical and social sectors.

For decades the best practices of clinical research involved rigidly designed, prospective randomized controlled trials (RCTs). While that remains the case in many scenarios, these kinds of trials collected data under ideal conditions and did not always reflect the routine clinical practice settings they are meant to inform. Over the last decade, as real-world data methodology advances and related regulatory guidance has matured it has allowed us to generate the evidence needed for strategy and decision making within development itself.

The benefits of leveraging real-world data (RWD) in clinical research are increasingly recognized and endorsed by regulators. As with any innovation, there is a gap between RWD availability and effectively leveraging the data, especially in the context of a randomized controlled trial (RCT).  One answer to this conundrum is to tokenize clinical trials data to enable connectivity to RWD. This webinar will focus on the operational processes to implement tokenization within a clinical trial to enable the ability to link to real–world data to answer research questions which could not previously be answered from traditional RCT designs.

Conducting burden of illness studies and cost-effectiveness research is challenging without data that captures a patient’s complete journey from primary care to specialty clinics and inpatient care.