Crawl, walk, run: Three easy ways to solve patient matching at your organization

Stephanie St. Thomas

Stephanie St. Thomas, Director of Marketing

Crawl, walk, run: Three easy ways to solve patient matching at your organization

Patient matching is a huge challenge: up to 20% of patient records aren’t matched within an organization and 50-60% of records aren’t matched when organizations exchange patient data.1 And the costs of these missed matches are too high to ignore:

  • Duplicate records cost health systems $96 per record to resolve2
  • Repeated tests and delayed treatments caused by duplicate records cost another $1,100 per patient2
  • Denied claims due to patient misidentification cost hospitals $17.4M per year2
  • 86% of medical practitioners have witnessed or know of a medical error that was the result of patient misidentification2

The ONC is calling for a 0.5% duplicate rate in every healthcare organization by 2020. How can your organization achieve this impossible goal?

Related Content: Read our whitepaper to learn about the growing demands for patient matching and how they’re redefining the healthcare landscape

Surprisingly, the answer is not to alter your existing master patient index (MPI) by tweaking its algorithms, by adding more full-time employees to manually review records it flags as potential duplicates, or by enforcing stricter data governance rules across your organization. Instead, your organization should leverage a totally new approach to patient matching called Referential Matching.

Referential Matching is not just a new algorithm – it is a totally different approach. Rather than comparing two patient records directly to each other to see if their demographic data (name, address, birthdate, etc.) are the same, Referential Matching compares each record to a comprehensive database of highly-curated demographic data spanning the entire US population. By using this database as an “answer key,” Referential Matching can make matches that conventional algorithms can never make.

So how can your organization leverage Referential Matching?

By deploying the next-generation Verato Universal™ MPI, which utilizes a Referential Matching approach. The Universal MPI is a Software-as-a-Service (SaaS) offering, so your organization can simply “plug in” and be live in weeks.

Best of all, even if you’re already using your EMR’s built-in MPI – or even if you’ve already invested in an enterprise MPI (eMPI) solution – you can still use the Verato Universal MPI to improve your patient matching and to increase your return on investment (ROI) for your existing MPI or eMPI solution.

Below are three steps that health systems, payers, and health information exchanges (HIEs) like yours can take to crawl, then walk, then run to lower duplicate rates and improved patient matching.

Related Content: Read our whitepaper to learn about the growing demands for patient matching and how they’re redefining the healthcare landscape

CRAWL

When to crawl: You already have a patient matching solution and you want a picture of the current state of its matching performance.
How to crawl: Diagnose your patient matching solution with the Verato Universal MPI to discover duplicates it has missed.

WALK

When to walk: You already have a patient matching solution but you still want to take advantage of Referential Matching to resolve your toughest matches—these tough matches would otherwise have to be manually reviewed to be resolved.
How to walk: Automate your data stewardship with the Verato Universal MPI to automatically resolve 50-75% of the “potential matches” that your solution has flagged for manual resolution.

RUN

When to run: You want a full MPI solution that is a true SaaS offering and that costs much less than conventional MPIs.
How to run: Deploy the best-in-class, SaaS-based Verato Universal MPI as a full MPI solution.


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Sources:
[1] CHIME: National Patient ID Challenge
[2] Ponemon Institute: 2016 National Patient Misidentification Report