Read and watch clips from their interview with Jessica DaMassa of What’s the Future of Health as they talk tokenization, SDoH and more
Discover more about the Health Care business of LexisNexis Risk Solutions in this interview hosted by Jess DaMassa of What’s the Future (WTF) Health as she talks with Jeff Diamond and Andrea Green about social determinants of health (SDoH), healthcare tokenization and the power of data for good*.
Jess DaMassa: LexisNexis® Risk Solutions. Tell me more about your organization and where you fit into the healthcare ecosystem?
Jeff Diamond: LexisNexis Risk Solutions serves multiple industries, and I have the pleasure of leading the healthcare vertical.
In healthcare we are the premier destination for data and insights, and our business is grounded on a singular operating tenant, enabling data for good.
We use our big data technology, our advanced linking, and data modeling capabilities to deliver industry-specific and customer-focused solutions that help organizations across the healthcare ecosystem accomplish their goals.
Across healthcare we work with constituents across five primary verticals. We partner with all the top 10 pharmacy retailers, 8 of the top 10 life science companies, and 90% of U.S. commercial payers, as well as hundreds of health systems and HIT vendors from around the country.
We provide the data and insights behind the scenes of so many applications by bringing together both public and proprietary data sources across three primary asset classes; consumer data, claims data, and provider data.
These assets and our capabilities position us to be the data engine helping our customers to operate more efficiently and to create healthier communities.
Jess: What industries challenges are you solving for? Can you bring this to life with a few specific examples?
Jeff: We help our customers accomplish two main objectives: increase operational efficiency and improve health outcomes.
For example, in the provider market we help hospital systems better understand physician splitting behavior and how they can make operational changes to address potential lost revenue. Our claims-based intelligence with LexisNexis® MarketView™ helps with this.
We also work with 80+ payer organizations ensuring they have the most up to date and accurate provider directories. Doing so not only ensure they stay compliant with state and federal regulations, but it also provides members with a best-in-class consumer experience.
And when you think about outcomes-based uses cases in the healthcare IT space, we work with dozens of care management, patient engagement and risk stratification platforms by providing them with industry leading social determinants of health insights. They ingest and make our data actionable within in their platforms alongside their customer input data to make their applications even more relevant for their end users leading to increased opportunity to impact patient outcomes.
Another very common use of our data is to leverage our vast consumer data warehouse and linking capabilities to help ensure disparate patient records are linked appropriately. By providing high precision and high confidence linking across these health records, providers can mitigate patient safety concerns that occur when you have under and overlinked patient files.
Jess: Andrea, I understand that you’re leading the SDoH area within LexisNexis Risk Solutions. Tell us more about what you’re considering as “SDOH data,” where this data is coming from, and how you’re helping your clients use it to make inroads on improving health equity.
Andrea Green: LexisNexis Risk Solutions has a consumer dataset of over a thousand attributes, and we were able to analyze them and select the most meaningful attributes that are correlated with health outcomes. Our statistical modelers and data science teams have curated the attributes to only include those that have predictive power as they relate to health outcomes. More data isn’t always better, and this is what makes us different from other data vendors that only provide consumer data or publicly available data. We’re able to provide a very comprehensive picture of individuals, both economically speaking but also in terms of housing stability, education background, insights on neighborhoods, and even support systems.
There is an immeasurable amount of data out there, and healthcare organizations are just starting to put the pieces together. Having SDoH related data on patients and members can help identify patients at risk earlier, to then address disparities in access to care or quality of care.
We can look at hotspots for diseases and use SDoH data to turn every study into a health equity study or enable organizations to examine their communities and address these underlying factors to health to help create healthier communities.
When I mention turning studies into health equity ones, I mean EVERY study needs to take social barriers and structural determinants of health into consideration.
Our life sciences companies for example are starting to really incorporate SDoH factors into clinical trial planning, with the FDA guidance on enhanced clinical trial diversity (released in 2020), it’s essential for them to not only look at prevalence of disease and medical treatment but also the effects that social determents of health have on disease prevalence and treatment or recovery. Along those lines, we can also look at the effect diseases have on social determinants of health — it can be cyclical — is our health system and the burdens of our diseases a contributing factor to our social determinants of health?
We recently worked with the National Institutes of Health and the National Cancer Institute to provide insights on participants from state cancer registries for epidemiologic research. We were able to provide SDoH data to assess household migration and financial toxicity as social impacts resulting from disease burdens.
A prime future-state example is linking together claims and SDoH data to find out more information around how SDoH stresses can affect health outcomes beyond things like diabetes and cancer, but mental health as well.
As a nurse, moving away from patient care was not an easy decision, but I wanted to make a bigger impact on the way we take care of people, and I found it here.
We are revolutionizing how we can care for the whole person. That, to me, is incredibly fulfilling, and I am proud to be here to help address health equity.
Jess: I saw your recent video showcasing the power of LexisNexis® Gravitas™. Wow! What a great visualization of connecting siloed datasets and emotionally impactful too! For those who have not seen it, tell us what Gravitas is and how it can be used. What is next-generation tokenization all about?
Jeff: Our company is known as a leader when it comes to working with, and providing, identifiable data. But in healthcare as we all know, there is an increased demand for de-identified healthcare data. And to that end we have been able to leverage our expertise in linking identifiable data and apply that to linking de-identified health records. This capability is truly revolutionary, and we are we are changing the way de-identified data can be used within a clinical context.
For example, before Gravitas two records that did not have virtually the exact same input criteria would be assigned different token values and thus would be incapable of match. With Gravitas, we use 40+ years of referential consumer data to create a patient-centric token capability that ensures that the Jeff Diamond at 123 Main Street receives the same token value as the Jeffrey Diamond at 456 Oak Street.
This increased match precision provides researchers and scientists with the confidence that the data being studied is linked more accurately. This provides a longitudinal view into those personas and enabling those same researchers at life science organizations to use de-identified data for covariate use, patient safety and dug efficacy studies. This is all while maintaining the highest threshold of privacy and security.
We then took that token and applied to the industry-leading data assets LexisNexis Risk Solutions houses including our SDoH data, mortality data, diversity data, and medical claims data. In addition to our own assets, we are bringing together the Nieman Marcus of data partners if you will, to participate in our Gravitas Network. We have identified 11 core categories of data assets we believe are necessary to create a complete data ecosystem and recruiting the best-in-class providers of those data sets to participate in our exclusive network. We just recently announced our initial members.
For example, when you think of clinical data, we are partnered with Truveta as an exclusive anchor tenant in our ecosystem, who houses arguably the most complete clinical dataset coming from participation from 24 leading health systems.
Together with our data network we help unlock the potential of de-identified healthcare data.
Jess: What does this look like in practice and how does Gravitas drive impact for your customers? For their patients?
Andrea: Life sciences companies will be able to leverage this tokenized data for areas such as research studies and FDA filings, and payers can use it for value-based contracting. There is immense value when it comes to de-identified data as it removes the potential for stigma or bias and removes the possible disclosure of sensitive information.
Healthcare technology companies and organizations with their own data sources can now tokenize their data with increased precision enabling business opportunities as well as making data more readily available clinical research to work towards better health outcomes.
There stands to be tremendous potential with this broad, diverse set of healthcare data that was previously unavailable.
Jess: Take this a step further for us, Andrea, knowing that some of this de-identified data will be SDOH data. How can tokenized data make an impact on helping improve health equity?
Andrea: As we all know SDoH determines up to 80% of your healthcare outcomes and only 20% is determined by your medical care. That’s big. It really drives home the importance of focusing on efforts such as housing instability and addressing other issues outside of clinical care – there’s an imbalance in how resources are aligned.
Working as a CNIO for a large hospital system, we had to look at emergency department utilization and what kind of interventions or programs we needed; we had to examine what were the persistent trends we were seeing with our high utilizers and what kind of program would need to be put into place to better serve these patients. LexisNexis Risk Solutions linking technology allows for connections between data sets ensuring privacy
One example is with the Montana Department of Public Health and Human Services and its “Housing is Healthcare” population health initiatives. They leveraged SDoH data to gain insight into social drivers for underserved populations to improve predictability of their models by 6.5%. No one has unlimited resources, so it’s critical to know where you can make the biggest impact.
The Gravitas Token, of course would allow the linking of data sets in a de-identified manner for similar efforts and organizations that want to be able to do this type of work, but maybe are restricted from sharing personal identifiable information (PII).
Jess: A lot of companies have a lot of data. How is what you’re offering here standout from the pack? Why LexisNexis Risk Solutions?
Jeff: Andrea’s example of our work with the State of Montana is just one of many examples of how we and our customers are utilizing our data for good. While we’ve aggregated data from several sources, it really comes down to where and how it’s being deployed.
Simply just having more data isn’t always better. It’s the ability to precisely link that data and add context to it – that’s what we pride ourselves on. It’s what separates us from just another data vendor. We’re more than data, we’re insights, and we deploy that data and those insights critically and only when we can improve operational and patient health outcomes.
All this ties back to really understand the business of healthcare and the unique goals of our customers. We pride ourselves on being able to do just that. I am proud of the work our teams and investments have made to keep pace with the evolving healthcare ecosystem.
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*Please note, some responses have been slightly altered for clarity and blog format vs. video interview.