MIPS Reporting Software in Radiology

Radloop Measure Extractor

What is a Merit-Based Incentive Payment System (MIPS) and what are the measures?

The Merit-Based Incentive Payment System (MIPS) is a program through the Center for Medicare & Medicaid Services (CMS) that collects quality measures for medical practices enrolled in the Quality Payment Program (QPP). Key data and metrics are reported to CMS who then calculate a composite score based on the performance of each measure. Points are accrued based on performance and scores are compared between practices. This program is sometimes referred to as Traditional MIPS.

This final score determines future payment adjustments for Medicare reimbursement – positive, negative, or neutral. A good score can lead to higher reimbursement rates in the future, while a bad score can result in cuts to future reimbursements. The general trend is that high performance on MIPS measures is getting harder to achieve.

Starting in 2023, the newest reporting option is MIPS Value Pathways (MVPs), which are a set of measures related to a specialty or medical condition. These are likely the future of MIPS reporting software and are more complicated than traditional MIPS measures.

How are measures extracted now?

MIPS measures have previously been fairly easy to extract. Currently, most practices extract these measures manually from their practice data and submit them by themselves. This is time-consuming, error-prone, and expensive. Once the data is submitted, it cannot be taken back or edited, so the performance score can come back as a surprise, particularly as the threshold for a good score has become increasingly difficult.

As MIPS measures become more complicated and MVPs continue to grow, practices will need a way to extract and report their performance data to the government affordably and automatically. Reimbursement adjustments are a zero-sum game between practices, so those who fail to submit adequate measures could see up to a 9% cut in their future Medicare revenue. It’s time for a new solution that can save radiology practices time and money with a trusted solution to report their data to the government and Qualified Clinical Data Registries (QCDRs) for the highest possible score.

Radloop Measure Extractor for Missed Follow-ups.

Calculate your total-at-risk Medicare revenue from poor quality measure reporting, and see how Radloop can both protect those reimbursements and grow them in the future.

What is changing about the MIPS landscape?


Starting with performance year 2022, the score threshold to avoid cuts to Medicare reimbursements is much higher. Previously, it was easy to achieve a high MIPS score without much work. Now, the number of national radiology measures continues to be depleted and bonus points removed. It is becoming much more difficult to avoid a negative reimbursement adjustment.

Why is the MIPS landscape change important?


The result is that many radiology practices have a major problem “hiding in plain sight” – they face the potential of significant negative adjustments to their Medicare revenue. The gap will widen between those who effectively report MIPS data and those who do not. The average reimbursement penalty will be 1.6% of all Medicare revenue with a maximum penalty of -9%. Revenue cuts of this magnitude are not sustainable for radiology practices, in this environment.

Avoiding negative adjustments requires strategic planning and changing your MIPS measures collection strategy to include full point measures available in a Qualified Clinical Data Registry (QCDR). Adding QCDR measures is the key to ensuring maximum performance scores.

But how can practices automatically and affordably report their measures to the government and come out ahead in this zero-sum game?

Introducing Radloop’s automated Measures Extractor (ME)!

Radloop Actionable Findings

The Radloop Solution:

Radloop Measure Extractor (ME)

Radloop’s Measures Extractor (ME) is the market-leading, cost-effective solution that utilizes AI to automatically extract and report important MIPS data to the government and QCDRs. Radloop is the only company that offers a complete, customizable solution for your practice. We work with you to significantly increase the chances of a positive reimbursement adjustment by streamlining the process and allowing users access to new measures for a higher total points floor. We work to protect your Medicare revenue and grow reimbursements for your practice.

The financial return from a negative to positive Medicare reimbursement adjustment using ME often well-exceeds the cost of the ME product.

Radloop desktop application

The Radloop Measure Extractor Features

Automated Measures Extraction

Our proprietary AI engine automatically extracts the required data for appropriate reporting of national and QCDR measures in the background. There is no effect on provider workflow and it replaces the tedious process of manual reporting. We also have a ‘shoulder tapper’ feature that helps practices ensure that the required data is being input throughout the year to ensure the best possible result in reporting.

Protect Reimbursements

CMS reimbursements based on MIPS performance scores are a zero-sum game. Those with poor scores will see reimbursement cuts, while those with good scores will see reimbursement increases. Inadequate reporting risks an average of 1.6% penalty and a maximum -9% penalty on all Medicare revenue. Our automated AI engine helps ensure that your practice achieves the highest possible score to minimize the risk of a negative adjustment. The ‘shoulder tapper’ feature helps to improve the data as the year progresses to ensure the best possible reporting at the end of the year.

Streamline Reporting

The current process of reporting national and QCDR measures is entirely manual. This is time-consuming, expensive, and prone to errors. Many practices spend lots of money and multiple staff members’ time completing their manual data reporting each year. Our product uses a single data feed to extract the data and collate it for easy, instant submission. This saves on cost while improving the data quality.
Xray Icon in Purple

Capture National & QCDR Measures

The performance thresholds for a neutral or positive score are rising too quickly to avoid using QCDRs. Practices will have to submit measures to Qualified Clinical Data Registries (QCDRs) as well as national measures to achieve a positive payment adjustment. Using QCDR measures provides more opportunities to achieve a score about the minimum threshold for a positive adjustment. The Radloop ME application extracts and seamlessly report both national and QCDR measures.

Who does this benefit?

The MIPs extraction tool benefits radiologists and radiology groups as they navigate the changing government rules of reporting quality data. Going forward, it will be increasingly difficult to avoid a negative Medicare payment adjustment. The extraction tool automates the reporting of national and QCDR measures to greatly improve the chances of a positive payment adjustment. This helps radiologists increase the reliability of their revenue stream and works to improve the quality of care. At Radloop, our platform aims to improve the whole radiology care ecosystem for physicians, patients, and other stakeholders.





Why Work with Radloop?

Close the loop on Actionable Findings

Radloop is an industry-leading platform that represents the future of modern healthcare. We are on a mission to solve a major gap in healthcare today. We leverage the power of AI and natural language processing to improve patient care and lower the burden on our healthcare professionals. We have years of experience working with radiology practices, billing companies, insurance companies, and hospitals to implement robust interoperable communication . We integrate seamlessly with EMRs and have a dedicated, responsive team to help make Radloop the best solution for your situation. At Radloop, we are at the forefront of using healthcare data to improve patient outcomes.

Stay in the Loop.

Radloop logo

A smarter way to coordinate care.

Radloop logo

A smarter way to coordinate care.