Last week, I got the chance to join the HIE community in Atlanta for the 2018 SHIEC Annual Conference. This is my third straight year attending, and since Verato has 15 HIE customers, SHIEC is always a particularly fun event for us. Here are five big takeaways from this year’s conference.
Tag: Referential Matching
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.
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.
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, and no matter how diligent your registration staff is, your EHR or EMPI is riddled with duplicate patient records, which have three hidden costs.
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, and Referential Matching technology can help solve patient matching and identity resolution challenges during M&A activity.
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.
We wrote a letter requesting that as part of their analysis and recommendation, the GAO consider “Referential Matching” as an alternative solution to existing patient matching technologies that have failed our healthcare system.
Problems with patient matching underlie many of the more visible portability issues a patient may see from their physician such as receiving incomplete medical records. Luckily, Referential Matching technology is a powerful solution.
How a lunchtime dispute about shades of pink became a parable for patient matching.
They are clear benefits to using bundled discounts for both the customer and seller, but applying the discount appropriately is more difficult than you would think due to shortcomings in your MDM.
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 EHR 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 the resolution of “potential duplicate record” tasks – it can also reduce the uncertainty associated with your data stewardship program.
Learn how a simple plug-in can seamlessly connect with Epic to automatically find and resolve its missed matches and duplicate records, including the “potential duplicate records” it has flagged for manual resolution.
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.
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.
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 matching 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 »
We saw a lot of similarities between this unruly cow and the unruliness of master data management. Luckily, our sales manager Rachel was able to wrangle the cow, just like our Referential Matching technology can wrangle and match patient and member data.
Payers are grappling an increasingly prevalent problem: how to match disparate data to the right person. Referential Matching technology is well-suited to help.
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 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 Referential Matching plug-in that works continuously to find and remediate duplicates an EHR or EMPI has missed, and that prevent duplicates from being created in the first place.
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.
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.
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 Master Data Management (MDM) or Master Patient Index (MPI) tool—you are signing up for more sweat equity than you realize.