Check out our previously hosted webinars below to learn about the latest trends in health data.
Creating a Model to Improve Whole-Person Care: A Case Study in Linking Cross-Sector Social Determinants of Health and Clinical Data
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.
Using Social Determinants of Health Data to Enrich Clinical Research
Data is fragmented across healthcare, resulting in a lack of large-scale research. Join us on September 7th for a discussion with AnalyticsIQ and Sight Outcomes Research Collaborative (SOURCE) to hear how Datavant has been working with our partners to increase data accessibility.
Unlocking Deeper Patient Insights by Linking Real-World Data to Specialty Drug Data
Life science companies have been burdened by lack of integration between internal and external data silos. Despite having access to various datasets for the same patient population, there has been no way to create a complete picture of the patient journey.
Data Linking in Clinical Trials
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.
UCB Digital Health Roundtable: Capturing real-world data and evidence in clinical trials
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.