Veritas Data Research

The countdown to #ITCVegas is on! ⏰ Reach out to Jelita Victorson-Adams today to get a meeting scheduled while she is in Vegas from October 15th-17th. She is excited to talk about how Veritas Data Research comprehensive and rapid mortality data can help your insurance company improve risk models and save costs in claims and benefits payments. Our Fact of Death Mortality Index can help you: ⏰ Improve risk modeling for more accurate setting of premiums ⏰ Rapidly initiate claims with timely mortality updates ⏰ Save interest-payment costs and unneeded outreach with early notification of a death Email sales@veritasdataresearch.com or send Jelita a direct message to meet up in Vegas! InsureTech Connect #ITC2024 #insuretech #BecauseofITC #insuranceinnovation #insurance

With the Veritas Portal, you can easily access the contributing sources that support each death record in the Fact of Death Index. Simply enter the Veritas traceability number (the unique ID assigned to each record) to find the specific record you need or perform more general queries using various search criteria like first name, last name, date of birth, date of death, city, or state. The Veritas Portal provides instant access to every indexed death in our dataset, making it an invaluable resource for customers who are: 🔴 Looking to find records for a small cohort of individuals 🔴 Needing to access or provide obituary source link(s) for provider credentialing, life insurance claims, or benefit processing 🔴 Wanting to confirm they have the correct person when marking an individual as deceased Reach out to the team today at sales@veritasdataresearch.com to learn more and discuss how our Fact of Death Index and the Veritas Portal can benefit you!

Veritas Data Research was founded to make contextual datasets accessible to healthcare researchers. Healthcare analytics today are narrowly powered by transactional data and often are missing the contextual data required to generate the next layer of insights that will improve patient care. At Veritas, we began our journey to fill this contextual data gap by first focusing on mortality data.  In our new Medium post, we walk you through why mortality data is so fundamental to healthcare analytics and why it has been difficult to access in the past. We describe how we approached the problem differently to fill this need, indexing public reports of deaths from tens of thousands of public sources, like obituaries and crematoriums. Those records are standardized and processed to create a comprehensive mortality listing that is widely accessible and rapidly updated with new records. Give the article a read! https://lnkd.in/gFehDKgg

Our latest collaboration article with Veritas Data Research explores the critical balance between insights and privacy. We've examined how organizations can responsibly leverage mortality data, spotlighting the innovative work by Veritas Data Research in standardizing diverse data sources. We cover: ✅ The vital role of data governance for sensitive data ✅ Essential components of effective governance frameworks ✅ Practical strategies for balancing analytics and privacy At Integral, we're proud to contribute to this ecosystem with our automated solutions for data utility and regulatory compliance. Alongside partners like Veritas, we're enabling swifter, more confident decision-making while safeguarding sensitive information. Visit the full article to see how we're shaping the future of regulated data utilization. https://lnkd.in/e_HSwzMu #HealthcareAnalytics #DataGovernance #Privacy

Mortality data can often be a missing study endpoint even when using multiple datasets for an analysis, especially in healthcare. Combining mortality data with other healthcare RWD is not as complicated as some might worry though. Analysts don’t need to choose between privacy regulations and high-quality data insights – it is possible to satisfy both requirements. As members of the larger health data ecosystem, Veritas Data Research is eager to work with our partners to remove barriers to performing the insightful analyses that will advance patient care, and to do so in a way that protects patient privacy. Data governance is a key piece of this effort, and proper implementation of data governance principles can unlock the value in data AND provide the necessary data protection, as is described by Shubh Sinha and the Integral team in this new article we have been working on together. Read the full piece here: https://lnkd.in/e9E8G6iJ  

At Integral, we enable companies to work with all of their regulated data safely, quickly, and usefully. A key data source that appears in many use cases for healthcare customers is mortality data. It’s a crucial resource for advancing public health and improving patient outcomes. Our recent collaboration with Veritas Data Research reveals how to explore its potential while prioritizing responsible data governance. We cover: - How mortality data drives critical decisions in public health and research - Why the sensitive nature of this data demands careful governance - How to maximize the utility of this resource 📍 Why this matters: By maximizing the utility of complex data sources like mortality data through focusing on privacy, we can enable the integration of rich, actionable insights seamlessly. Thank you to Jason LaBonte and the Veritas Data Research team for their collaboration on this piece. Read the full article here: https://hubs.li/Q02GM7PX0 #HealthcareData #DataGovernance #Privacy

A mid-size life insurance provider recently found that Veritas reported deaths five days earlier on average than their existing notification processes. This early notification would allow faster claim payment and generate savings of >$30 in avoided interest payments per claim, with potential additional savings from avoiding the need to request death certificates. Learn how our mortality offerings can help your company with fraud prevention, insurance claims, reinsurance and more: 🔎 Complete and timely mortality information allows for rapid removal of deceased individuals from systems or flags for investigation.  🔎 Support preparation of claims documentation for submission and maintain up-to-date management of policy holders.  🔎 Understand risk at a group level for reporting and financial planning.     Review our fact sheet here: https://hubs.ly/Q02GfQBj0 or email sales@veritasdataresearch.com to learn more.  

We pride ourselves with continuously improving our Fact of Death Index to provide the best mortality solution. We have spent the last 18 months diligently implementing updates like: 💡Increasing our total record count by adding new sources 💡Targeted reprocessing of incorrect names and other poorly extracted data elements to improve data quality 💡Added new fields for confidence scores and duplicate indicators to make the data more usable Comparing the Fact of Death volumes in January 2023 to now (June 2024), our coverage has increased by almost 10% with the new sources we have added. (The total counts per year from 2010 - 2024 (so far), and percentage increase, are shown below.) Over the same timeframe, the average number of sources per record has also increased from 4.13 to 4.76. This improved record “density” provides reassurance that we are increasing our data quality by having confirmation from multiple sources for each death record. Lastly, we are getting quicker at indexing records and currently report 90% of all records within 10 days of the death date. If you want to learn more about our data, or have questions about coverage or quality, please message us or reach out to sales@veritasdataresearch.com.

Healthcare data-based research can frequently tell you the “what” but not always the “why”. In the medium post below, we’re discussing some salient examples on how contextual data can provide an additional layer to patient-level data. Establishing “why” something happens can help researchers and policy-makers suggest the changes that lead to better outcomes. Hope you enjoy the read! Jason LaBonte Veritas Data Research #healthcaredata

I recently posted a Medium article arguing that real-world data analytics are constrained by their use of transactional health data, and that additional insight would be found through the addition of contextual data. Following the publication of that piece, I was asked for some more specific examples of where an analysis would be improved with the addition of contextual data so that readers could more easily envision the practical applications of this improvement. To that end, Vera Mucaj, chief scientific officer at Datavant, and I have just published a new piece that describes example scenarios of the “before and after” of health analytics to show the additional insight that can be unlocked through contextual data. In it, we cover the hypothetical impact of contextual data for understanding: - Rural patient outcomes  - Hospital re-admission rates  - Maternal mortality  - Predicting asthma attacks Read about it here: https://lnkd.in/gi-NYAG6 #realworlddata, #healthcare, #patientcare, Veritas Data Research