Life Sciences

Contextualize Your Data

Clinical RWD is transactional information about a health encounter but is missing critical context about the setting of those encounters and their outcomes. Veritas provides accurate, timely, and comprehensive data to fill those gaps.

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Where we add value

HEOR, Disease, and Drug Studies

Augment clinical RWD with mortality data to accurately measure mortality endpoints, build cancer survival curves, and more

Attribute deaths to the correct cause to avoid including irrelevant deaths in your study endpoint

Build disease-specific patient journeys and support data-driven decision making by developing mortality risk indicators for monitoring specific diseases

Gain insight into patient diagnosis and treatment patterns, health outcomes, and drivers of variability, via contextual data about provider and facilities, and the relationships between them

Mortality products

Provider Network and Affiliations Index

Clinical Studies, Trials and Pharmacovigilance

Track long-term mortality after trial close and attribute deaths to the correct cause, to avoid including irrelevant deaths in your study endpoint

Remove deceased patients from trial recruiting plans

Determine if “lost to follow up” patients are actually deceased before expending resources to find them

Identify new potential KOLs and trial investigators through ranking providers by influence networks, trial participation and publication activity

Map the treating physicians of candidate patients to the facilities they practice within to identify optimal recruitment sites

Track investigators as they move between facilities and systems to identify potential recruiting impact

Mortality products

Provider Network and Affiliations Index

Commercial Analytics, Market Access, and Sales Targeting

Track providers as they move across systems for more accurate account planning

Group providers by facility or system to understand network size and influence

Identify KOLs and influencers

Identify the systems with the largest reach in each geography to focus on them for market access planning

Remove deceased patients and providers from your systems and analytics

Mortality products

Provider Network and Affiliations Index

Patient Hub Engagement and Support

Remove / flag deceased patients from support tools to prevent fraud and wasted (or insensitive) outreach when they are “lost to follow up”

Remove deceased providers from patient support materials and communications

Track provider affiliation changes to flag when a patient might have lost contact with their prescriber

Mortality products

Provider Network and Affiliations Index

What people say

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.

Vera Mucaj

Chief Scientific Officer

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.

Michael Dudley

Project Manager

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.

Amit Jiwani

Chief Product Officer

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.

Stephen Marshall, CFA

Chief Product Officer

Built on Compliance and Security

Veritas workflows are HITRUST r2 and SOC2 Type 2 certified, and trusted under CMS’s QECP program to handle sensitive Medicare claims data

Veritas data is transparently-sourced; we can support FDA-mandated RWE audits to demonstrate the provenance of each record

Veritas maintains strict separation of identified and deidentified data environments and has robust controls ensuring that restricted data is never shared with unauthorized parties

Veritas can supply identified mortality data to support clinical programs that operate on patient consent, as well as deidentified data on all of the major token systems for research studies

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