All conventional patient matching technologies are fundamentally the same, and fundamentally limited. Referential Matching is a fundamentally different approach to patient matching. It is the new gold standard in patient matching technology, and it is the silver bullet many organizations seek to solve their patient matching challenges.
The latest insights, industry commentary, and thought leadership from the Verato team
I come from a big family, so I am not the only one to suffer from the St. Thomas-specific variety of patient matching woes. While we share our war stories often (only half of us have been able to finagle a period into our last names on social media, and we have all spent hours on the phone with various customer service lines), there is one anecdote that is always the first to come to mind.
Last week, Verato had the opportunity to attend, speak, and exhibit at the MDM & Data Governance Conference in Chicago. Our speaking session was with Shannon Hood from Intermountain Healthcare. Our VP of Healthcare talked with Shannon about how Intermountain has used Verato and our Referential Matching technology to improve Intermountain’s stewardship productivity by 174%.
This weekend will be filled with thrilling sports matches, including the World Cup Final on Sunday. Here’s to hoping bad data doesn’t influence the match.
Poor patient (or member) matching plagues every single component of healthcare, often in different ways and with varying degrees of visibility into the problem. In this post, I’ll describe one healthcare initiative that suffers from poor patient matching: your healthcare organization’s risk adjustment program.
Healthcare’s focus on the triple aim has spawned thousands of initiatives like improving the patient experience, measuring quality and performance, and enterprise clinical integration. But each of these initiatives shares a foundational assumption that frankly should be challenged: they assume access to patient data that is uniquely identified and correctly matched.
As the largest Integrated Health System in the United State, the Veterans Health Administration (VHA) gets a lot of attention for every step it might make. Existing MPI technologies cannot resolve patient identities well enough to support VHA. But our new patient identity resolution technology, the Verato Universal MPI, could support the new needs.
No matter how much you have invested in your EHR or enterprise master patient index (EMPI) technology, no matter how small your patient population is, no matter how clean your data is, and no matter how diligent your registration staff is, your EHR or EMPI is riddled with duplicate patient records. According to a recent… Read more »
Death and Taxes. We have all heard the inescapable phrase that binds us under a single truism. Mergers and Acquisitions (M&A) are another unavoidable event that we should care about. Hospital administrators believe that consolidation improves efficiency, quality and access to care and should lead to lower overall costs. Gains from consumer health market share… Read more »
The “Laurel-Yanny” illusion got me thinking about the healthcare industry’s patient matching challenges, and how Referential Matching technology can help.
With a period and a space in my last name, I’ve experienced more than my fair share of duplicate records, misidentification, and the struggles of patient matching.
In early October 2017, a bi-partisan group of senators (Elizabeth Warren, D-Massachusetts, Orrin Hatch, R-Utah, Tammy Baldwin, D-Wisconsin, Sheldon Whitehouse, D-Rhode Island, and Bill Cassidy, R-Louisiana) penned a letter to Gene L. Dodaro, Comptroller General, U.S. GAO requesting that GAO “recommend specific strategies that would improve patient matching, including the consideration of a national patient… Read more »
The annual HIMSS conference is typically a flurry of new product announcements, which in turn leads to a lot of excitement about how technology will push healthcare to be more collaborative, cooperative and – hopefully – affordable. One of the biggest splashes of this year was Apple’s announcement of a new Personal Health Record (PHR)… Read more »
How a lunchtime dispute about shades of pink became a parable for patient matching.
Thinking about changing your phone plan? Add a second line and get additional data on your plan for free! Signing up for cable TV? Add internet service at the same time for a great discount! Buying a home? Bundle your homeowner’s insurance with auto insurance and save 20%! The multi-product discount is a tried and true… Read more »
An unexpected twist on the classic statistical problem “The Birthday Paradox” using interesting insights from our reference database.
Announcing the first ever tech lab dedicated to improving patient matching using blockchain, the technology that’s revolutionizing healthcare.
It’s taken a couple weeks for things to settle post-HIMSS and we are still invigorated from all of the energy, activity, and innovation we witnessed. Most important to note, from our perspective, was the focus on interoperability as a national priority.
Verato submitted public comment to the ONC regarding the 21st Century Cures Act Trusted Exchange Framework and Common Agreement (TEFCA). Verato recommends that TEFCA should specify an identity matching resource based on the next-generation of patient matching – Referential Matching.
By using Verato Auto-Steward and its Referential Matching approach, organizations can ensure that they achieve the original business case established for the use of their EMR or EMPI, and that they can meet the ONC mandate of a having a 0.5% duplicate rate by 2020.
Yes, there is an “i” in Verato. Don’t be fooled by the spelling – the “i” might not be visible, but it represents identity, innovation, improvement, and integrity, each of which is a key tenet of our philosophy and technology.
Does your EHR, MPI, or MDM have a large queue of patient identities (or Queue-PID, pronounced “cupid”) awaiting manual review by your HIM team to determine if those identities are duplicates? Fall in love with Verato Auto-Steward™ this Valentine’s day and dramatically improve your patient matching.
Verato AUTO-STEWARD can not only automate data stewardship decisions that would otherwise require expensive and time-consuming manual review – it can also reduce the uncertainty associated with your data stewardship program.
What does a Roomba have to do with patient matching? Read this blog to find out.
Learn how Verato AUTO-STEWARD™ can seamlessly connect with Epic to resolve “potential matches” before they enter the data stewardship queue – in other words, how it can simply make the patient matching component of Epic Identity work better.
Verato pens letter to U.S. Senate and House recommending Referential Matching as nationwide strategy
Verato wrote a letter to Senate and House committees urging them to consider a fundamentally different approach to patient matching – called Referential Matching – that will finally enable an accurate, secure, and scalable nationwide patient matching strategy. Read the full contents of the letter here.
Well it’s that time of year. The holidays are here, and we’ve been trying to think of clever holiday puns to catch your attention. The best we could come up with was writing a year-end “wrap up,” which you can correctly assume is a reference to wrapping presents. I know, it’s hilarious. Anyway, if you… Read more »
On the first day of Christmas my MPI gave me: a patient record that was incomplete.
Is your EMR or master patient index STUFFED with duplicates? Is your master patient index GOBBLING up your budget? Tighten your budgetary belt with the Verato Universal MPI.
There are two very different categories of cloud-based technologies, and picking the right one can save your organization significant money, time, and effort. It can also give your organization access to revolutionary software features. Learn more about the difference between “hosted” and “SaaS” solutions.
Read about 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
MDM solutions cost a lot of money and take a lot of effort to implement, but they are worth it to gain the elusive “single view of the customer.” However, every MDM solution on the market forces companies to choose between creating a data stewardship program or only achieving a single view of 80% of their customers. Luckily, Verato AUTO-STEWARD can help.
A few years ago, patient matching was a challenge addressed by health information management professionals within the four walls of their hospitals and health systems. Today, accurate patient matching has become a national imperative—in early October, five US senators wrote a letter to the GAO urging it to consider the effects of a national patient matching strategy.
The 2017 AHIMA Convention & Exhibit was as timely as ever – and not just because the California sun was a welcome relief from rainy DC. The industry-wide problem of patient misidentification has been getting more and more attention in the press recently and was top-of-mind for many in LA. Three days before the convention,… Read more »
The Verato team had a great time in Phoenix at the annual IM Symposium thanks to BCBS Arizona. Most notably, our rock-star sales manager, Rachel Blum, wrestled a cow to the ground during the rodeo event. We even have proof via our new favorite gif. We saw a lot of similarities between this unruly cow… Read more »
As technology continues to embed itself into our daily lives, we all create more and more data pertinent to our health – through telemedicine, patient portals, medical devices, behavioral health. Even our socioeconomic information is increasingly – and correctly – being treated as health data. With more information available than ever before, shouldn’t payers and… Read more »
Verato’s Office of the Chief Privacy Officer (CPO) is honored to oversee a rigorous information security and privacy program that raises the expectations for workforce, leadership, contractors, third-parties, vendors and customers with baseline standards and requirements that protect the confidentiality, integrity and availability of data and systems. We are proud of our commitment to a… Read more »
I was asked to represent Verato during the Strategic Health Information Exchange Collaborative (SHIEC) conference held in Indianapolis. The conference was thriving with ideas to improve patient care, patient experience, and overall outcomes. Topics on Patient Centered Data Home (PCDH), Prescription Drug Monitoring Program (PDMP), Interoperability, and Behavioral Health were some of my favorites, perhaps because their use cases depend tremendously on accurate identity resolution.
One of the biggest challenges in patient identification is the ability to tie together all of a patient’s information and accurately associate it with that patient. This is where Verato comes in. Our approach is called “referential matching” and the Verato Universal MPI is the only master patient index to use it
Today, we mourn the timely passing of a dear but increasingly obsolete—and obstinate—friend, Master Patient Index.
As the healthcare industry continues to push toward interoperability, one key component is still lagging, causing cracks in the foundation of any successful data framework: Patient identity matching.
IBM Initiate is a state-of-the-art master patient index (MPI) solution with best-of-breed patient matching capabilities. But it requires thousands or millions of potential matches to be manually reviewed. Learn how you can automatically match those potential matches, saving the time and effort of manual review.
It’s time for organizations to stop performing MPI cleanups. Verato offers a subscription service that lets organizations prevent duplicates from being created in the first place.
AHIMA16 – Stop Cleaning Your Identity Data! Achieve Interoperability of Patient Information Despite Dirty and Out-of-Date Data
Healthcare organizations perform large data quality exercises and enforce strict data governance standards in order to better match patient identities and improve interoperability. But there is a new way to match patient identities despite low quality data.
Population health and analytics are at the forefront of almost every discussion about the future of healthcare. But the ability to analyze the health of a population is dependent on the accuracy with which claims, clinical, biographical, and other data can be aggregated and assembled into complete views of each patient.
Traditional patient matching engines use patients’ names, addresses, and other identity data to link patient records together. But this data is constantly changing, making matching a challenge. This blog examines how you can accurately match patient records even if they contain out-of-date data.
A recent study published in the AHIMA journal “Perspectives in Health Information Management” analyzed what data errors cause duplicate patient records. But duplicates can be found and prevented without the need for data governance.
We are excited to have entered the CHIME National Patient ID Challenge Blitz Round! We think that the Challenge will spur innovative solutions for patient identification—therefore, what is most important is the interoperability of those solutions.
As we venture into in Precision Medicine, Accountable Care, Pop Health, and Outcome-Based Medicine, we must find the signal through the noise in our analysis of patient data.
Verato had a great week at HIMSS16 in Las Vegas. Many members of our marketing, sales, and executive leadership teams made it out at one point or another to learn more about HIT, to network with other HIT professionals, and to spread the word about our unique patient matching solution that drives interoperability.
If you’ve ever renovated a house or bought a “fixer-upper,” you know all about sweat equity—it’s the painstaking investment of time and labor that goes into the project. What you might not know is when you buy a modern identity matching solution—whether a Data Quality (DQ), Master Data Management (MDM), or Master Patient Index (MPI) tool—you are signing up for more sweat equity than you realize.