It’s my guess that CMS’s decision to use the word Validation instead of Audit wasn’t an accident. I don’t know anyone who throws a party when they hear they’re being audited. Even reading about the audit process below will probably trigger some anxiety. So, I apologize in advance for any undue distress this may cause. I want you to have the most recent information at your fingertips in case you happen to be one of the “lucky” ones selected by CMS for Electronic Clinical Quality Measure (eCQM) validation.
For the first time ever, eCQM data will be validated for accuracy. Starting with the eCQM data collected in calendar year 2025, you will need to achieve a 75% or better agreement rate to pass validation. If you don’t meet this threshold, your annual payment update will be affected.
So, what does this mean? Take a deep breath and read on. I’m here to help you understand how we got to this point and what steps you need to take so you can be better prepared (and hopefully a little less anxious) for CMS validation.
As always, I like to start with the basics.
CMS describes data validation as “Verification that data submitted can be reproduced by a trained abstractor using a standardized protocol.” Pretty straightforward, right? Someone abstracts your data to make sure it’s the same as what you submitted. There are a few reasons why this is important to CMS.
A little background on the history of CMS validation:
CMS has been validating Quality measures for the past 10 years, and although eCQMs still feel “new” to a lot of us, they’ve been a part of the validation process for almost eight of those years.
For the past few years, hospitals selected for eCQM validation were asked to provide medical records for eight cases (randomly selected by CMS from the eCQM QRDA files submitted) per quarter for the calendar year.
The cases were then reviewed to confirm all requested records were provided. This is what CMS refers to as auditing for “completeness.” Hospitals passed the audit by simply submitting all requested cases. If a hospital was unable to submit all cases, eCQM validation carried zero weight in scoring (i.e., no penalty) so “failing” eCQM validation was not a deal-breaker.
And even though CMS only held hospitals to completeness to pass the pre-2025 audits, they went ahead and validated the eCQM data for accuracy anyway. Accuracy review involved comparing abstracted data elements from the submitted medical records to the data in the eCQM QRDA files. This served two purposes:
In summary, hospitals previously met eCQM validation requirements simply by providing the medical records requests. Hospitals were not penalized if the auditor abstracted data didn’t match the eCQM data in the QRDA files.
In the last seven years, CMS has gathered and studied a lot of validation information. This has helped them understand how accurate and reliable eCQM data is. They determined the accuracy of the data by calculating an agreement rate. An agreement rate is how often the eCQM data submitted in QRDA files matches the medical record data reviewed by CMS during the validation process.
In the early days, eCQM agreement rates were low. In recent years, hospitals selected for eCQM validation have consistently high agreement rates. In other words, eCQM data is now accurate. Congratulations to all of you who were previously selected for eCQM validation. Your commitment has paid off; you’ve finally managed to boost the accuracy (and hopefully the performance) of your eCQM data.
And for the rest of you? Feeling a bit salty? Well, you can always send your complaints to the hospitals that paved the way. The high bar they set was the primary reason CMS decided it was time to flip the audit switch to accuracy and hold hospitals accountable for their eCQM data.
Here’s a bit more information to help you understand the decision-making process:
There are several key pieces to the validation process that you must know and prepare for in case you are selected for audit.
The table below compares the old validation policy to the new one:
What this means for hospitals:
The new scoring system sets a high standard for data accuracy, requiring hospitals to ensure that their eCQM data meets the 75% agreement rate. To achieve this, hospitals must implement well-defined processes for managing eCQM data, ensuring that it is accurate, complete, and meets the validation requirements.
Successful eCQM data validation requires a structured data management plan. In the ever-evolving landscape of healthcare, with information exchange, artificial intelligence, and digital measurement topping the list of hot topics, the accuracy and integrity of your data is becoming more important. And with this new eCQM validation policy, successful data management isn’t something that you can sweep under the rug and worry about next year.
Not sure what data management means, don’t worry, I had to phone a friend to make sure I fully understood it. Justin DiStefano is Medisolv’s long-time VP of Engineering, and he spends his days dealing with the challenges of data management. Here’s his take as it applies to EHR / Health IT
"Data management involves organizing and handling information to ensure it is collected, stored, processed, and used effectively. In the context of healthcare, particularly with Electronic Health Record (EHR) systems, data management includes gathering all relevant patient information, structuring it in a specific format, applying relevant codes, safely storing it in a database, ensuring it is in the correct format for various uses such as generating regulatory files like QRDA I, and keeping track of where the information came from within the EHR system to ensure accuracy and compliance. This process helps healthcare organizations maintain accurate and usable patient records and ensures that the information meets regulatory requirements."
Hospitals will need an annual plan to review eCQM data capture, accuracy, completeness, mapping, storage, and QRDA file components. To be successful, representatives from both the IT and Quality teams must be involved. The most successful hospitals have clear processes in place with timelines, frequency, and ownership mapped out.
Here are a few tips to help you get started:
The Hospital IQR Program's data validation rules for 2025 are being changed to make the eCQM data submitted by hospitals more accurate and reliable. The change from focusing on completeness to accuracy shows the program's commitment to data integrity, hospital accountability, and open public reporting.
While the risk of a penalty is worrisome, hospitals can handle these issues by teaching and training their staff, setting up clear and simple processes, and making sure they are well-prepared and communicate effectively. By doing this, hospitals can meet the new standards and improve how they manage data. This will increase trust in the eCQM results and show ways to improve patient care, which is good for both hospitals and the communities they serve.
Want to dive deeper? Connect with our eCQM experts, who can help you fine-tune your data capture process and ensure you’re fully prepared for CMS validation. Additionally, don’t miss our upcoming webinar, 'Navigating CMS's 2025 eCQM Validation Changes’, on May 14 at 1:00 pm EST. For the first time, we’re offering CPHQ CE credits, making this an excellent opportunity for professional development.
Medisolv Can HelpAlong with award-winning software, each client works with a dedicated Clinical Quality Advisor that helps you navigate the regulatory and reporting process. We consistently hear from our clients that the biggest differentiator between Medisolv and other vendors is the level of support. Especially if you use an EHR vendor right now, you’ll notice a huge difference.
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