Academic Research

Trials happen for, let's say, 12 to 18 months on average. There are endpoints that will happen way longer after the trial is completed. If you're able to connect mortality data on long term survival to your clinical trial data for that particular patient population and be able to follow those individuals beyond those 18 months, let's say for the next 5 or 10 years, you can really get a full picture of what happened in that study and what happened to that patient population, positive or negative.

Veritas data going back to 1900 gives us many more matches not available to us through our California Department of Public Health (CDPH) data feeds. In addition, UCLA has patients that come from all over the U.S. for our specialists’ care. Those that die outside CA would not be included in CDPH data. Veritas, being a national database, allows us to pick up deaths that would not be available to us with CDPH data.

Merit Medicine leverages extensive datasets, including Veritas' unique Fact of Death Mortality Index, to enhance predictive analytics and fine tune our advanced analytical tools. The use of Veritas' Mortality Index enriches our models by allowing researchers to identify deceased patients, in order to accurately predict disease burden and total cost of care.

At Aidentified, we used Veritas’s Fact of Death mortality data to ensure data quality and to power the creation of our new Potential Wealth Transfer Trigger, which is a potential game-changer for our industry. By combining Veritas’s timely mortality insights with Aidentified’s wealth modeling and proprietary relationship mapping capabilities, this service enables our clients to compassionately tailor their products and services to better meet the needs of those they serve.