Inform community health research by illuminating social factors

Our non-traditional identity data helps clinical researchers fill in the non-clinical details of a person that provide deeper, broader context for public health. For example, we can provide address history over decades — which can inform researchers of any connections to hazardous waste sites or poor water quality, or proximity to grocery stores and pharmacies. Years of income history may be useful in determining how an individual’s health history trends with their earnings over time.

Our clinically validated Social Determinants of Health (SDOH) data takes it steps further, with additional economic and social insights. For instance, better understand how financial stability (in terms of assets and property values) influences access to a broader selection of providers. And the presence or absence of  “relatives and associates” data can be an indicator that a person is socially connected or socially isolated. 

This data also enables researchers to disaggregate outcomes and gain a clearer picture of results by subgroups based on geography, income, social connections and more. 

As part of studying and managing strategies for public health, you need to get clarity on a population’s access to providers in their area. However, much like individual data, provider data changes constantly. New locations, licensing changes, system affiliations, CMS participation, new focus on specialties — the amount of change can outpace your ability to maintain accurate records. 

LexisNexis Risk Solutions assists you in generating and managing a database of all the providers in a given area, by specialty, by geography and plan networks. We make it easy to map these providers into your research studies to understand how access to care impacts community health.

And because LexisNexis Risk Solutions is one of the only companies in the U.S. that aggregates provider data from every state, we can tell you if a provider relocated, revealing another level of insight. We maintain information on more than 8.5 million U.S. healthcare practitioners and 1 million organizations. Get a complete view into individual healthcare practitioners with comprehensive attributes such as NPI, DEA, specialty, state license(s), credentials, and multiple addresses. See provider relationships across IDNs, ACOs and healthcare systems. Analyze provider gaps that may be impacting health outcomes.

As you know, finding and recruiting study participants can be one of the hardest parts of clinical research. You need to efficiently locate people with the right combination of attributes that make them distinct and suitable for your study, but that’s not the only hurdle. Clinical research needs to represent the diversity of the population — something that historically has been a gap but our data scientists are collectively working to address. 

Once identified, making contact with participants may be a challenge. Outdated and/or limited data can stand in the way of efficiently reaching and enrolling participants and staying in touch for the duration: 

• The most vulnerable populations — often the people who will benefit most from the research study findings — are typically the hardest to identify and reach because of frequent address and employment changes, as well as challenges accessing and engaging in care.
• Missing data keeps you from accurately identifying and linking individuals. For example, one health department relied on email addresses and phone numbers to query vaccination records — leaving thousands of individuals unable to access their records because they hadn’t provided contact data to the immunization registry. Correcting and updating contact and demographic data is critical to improved data quality and patient experience. 

Rely on our vast and meticulously managed data sets to help you identify and create recruitment contact lists for potential research participants in geographic areas based on your parameters. We maintain billions of records across 10,000+ public data sources — including address history, phone data, legal name changes and more — that help you connect with people that are otherwise difficult to find and are underserved because of it.

Key solution strengths:

• Referential data: This is a term for data that has been verified against multiple sources. We leverage our vast data sets and fuzzy-matching linking technology to deliver “the single source of truth” and the most up to date information — even when data is manually input as Elaine Jones and all records show Elaine Jones with the same personal identifiers. This means fewer no-hits and not-founds.
• User-friendly functionality: Our contact and locate tools are meant to give teams fast access to public and proprietary data delivered in a concise, rank-ordered output — with "We Also Found" prompts, links to first- and last-seen dates, information on relatives and associates and address details.