Improve interoperability and modernize public health infrastructure

Public health agencies must closely coordinate with an intricate network of platforms and players: internal departments, government and private payers, sister agencies, multiple providers and healthcare systems (with their own EHRs) and other entities that provide complementary services. Each stakeholder produces mountains of data in its own discrete format. Connecting each of these views and interactions requires a consistent identifier across these systems. While the concept of a national patient identifier is being debated, our experience proves there are viable alternatives for effective patient matching. 

Through our sophisticated linking technology, LexisNexis® Risk Solutions can match patient records and return a unique, persistent identifier for each individual. Our patient matching process leverages expansive referential data; we’re able to bounce data against our full repository. In comparison, most agencies are only able to verify against a couple of data points. More sources means a higher veracity of the data and greater confidence in a true match. Not only that, the data is cleaner, more connected and normalized for improved interoperability and data sharing.

From a privacy perspective, our proprietary identifier is actually more unique than a Social Security Number and can’t be traced back to an individual. This reinforces your agency data governance and data privacy initiatives. 

Our linking technology and data management capabilities also help you manage longitudinal data over time. Household moves, deployments, changes in income or marital status — these details are captured in ongoing updates so that contact and demographic information stays fresh. The fresher the data, the more effectively your agency can coordinate programs, track diseases and engage with community members. 

Agencies increasingly strive to provide a digital-first, seamless experience for all parties — from study enrollees, to permit applicants, to partners needing system access. But there’s more to it than user convenience. There’s a compliance objective as well: most notably the Patient Access Rule which mandates that patients should be able to easily access data about their clinical information and care encounters. All of these requirements add new layers of complexity — particularly given the diverse array of devices and platforms used to access data systems. 

It’s really a job for an intelligent digital solution that performs front-end identity verification seamlessly, in real time, and imperceptibly to the user. Some key features of our identify verification solution:

• Expanded visibility into more of the vulnerable population than the traditional data sets you might rely on. We maintain one of the largest compilations of consumer identity intelligence, covering 95% of the U.S. population — which means we can surface and verify hard-to-find identities that would otherwise require manual verification. And while tools like census data remain static for years, we’re constantly ingesting updates from a variety of data sources — so you’re working with more current, precise information that is directly reflective of your target populations.
• Near-real-time digital verification and behind-the-scenes risk assessment that  minimizes burdens and barriers. Your clients, especially those in vulnerable situations, need services quickly. Meanwhile, your team needs fast, secure access to personal health data. With our solutions, your staff can easily see online activity associated with the client’s identity, device ownership, device history, location data, linkage to cell phone number and more.
• More “dots connected” and verified across multiple data sources. Our referential data is filtered using “fuzzy matching” linking technology that intelligently cross-compares manually input data against multiple data sources. This means you see the best information, rationalized against potential mistypes (transposed numbers, misspellings, etc.) and with fewer no-hits/not founds.