Quality & Practice

AAPM&R's Registry collects clinical data from a physician or group practice and submits it to CMS on behalf of the participants. As such, certain CMS-approved Merit Incentive Payment System (MIPS) measures can be used with the Registry.

AAPM&R's Registry Is Deemed a Qualified Clinical Data Registry

We are excited to announce that the Registry has been designated as a Qualified Clinical Data Registry (QCDR) by the Centers for Medicare and Medicaid Services (CMS).

What is a QCDR?

CMS approved the Registry as a 2018 QCDR. This designation opens the door for physicians looking for an easy way to submit quality data to CMS for the Merit-Based Incentive Payment System (MIPS). A QCDR allows a registry to submit non-CMS measures to meet their quality reporting requirements. It is also a vehicle to attest all of the Quality Payment Program requirements:

Why is this important?

Being designated as a QCDR is important for the Registry because it enables practices to identify and improve gaps in the quality of care, demonstrate their value to payers, and compare their performance to physicians nationwide.

NEW! Expanded Measures

AAPM&R has expanded the Registry's capabilities by developing 5 new quality measures used to track patients. These measures are focused on patients undergoing management for stroke, acquired brain injury, spinal cord injury, cerebral palsy, and multiple sclerosis.

  1. Assessment and Management of Muscle Spasticity—Inpatient
  2. Management of Muscle Spasticity—Outpatient
  3. Functional Assessment to Determine Rehabilitation Needs
  4. Family Training—Inpatient Rehabilitation/Skilled Nursing Facility-Discharged to Home
  5. Post-Acute Brain Injury: Depression Screening and Follow-Up Plan of Care

AAPM&R's Registry Measures

Measures in the Future

As the Registry continues to gather data, analysis and refinement of the measures will be done. The Registry strives to evolve how data is collected by utilizing technology. This includes the collection of Patient-Reported Outcomes and gathering data in the least burdensome way.