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:: New Grants and Awards
DI CEO Wilson Pace will receive the first ever Distinguished Research Mentor Award from the North American Primary Care Research Group (NAPCRG) in October. Visit our news page for details. You'll also find details about a number of new grants and contracts we are part of.

Measure 6 of Meaningful Use 2 and the DI Registry

The DI Meaningful Use 2 specialized registry is a professional society quality improvement registry.

Participating in the Practice Performance quality improvement registry allows  for Meaningful Use 2 attestation.

Specifically, participation in the DI specialized registry allows Eligible Providers to attest to Meaningful Use 2 Menu Measure 6.

All physicians who participate in the DI Practice Performance Registry and use a certified EHR technology to provide data to the registry meet Measure 6 of Meaningful Use 2 requirements (and consequently can receive increased revenue).

Read more about the Practice Performance quality improvement registry.

:: See the Registry in Action
View our new videos on the Practice Performance Registry.









Informing Practice: Improving Care

The DARTNet Institute is a rapidly growing collaboration of practice-based research networks that are building a national collection of data from electronic health records, claims, and patient-reported outcomes.

At a glance, the DARTNet Institute is:

A quality improvement registry endorsed by a  national professional society for Meaningful Use 2 attestation.

Secure, reliable datasets of health information from many organizations for improving quality and fostering research.

Researchers examining patient health information to determine what's happening in real-life practice.

Healthcare providers engaging with their peers across the country to learn the best way to care for patients.

The 12 distinct research networks that make up DARTNet Institute offer access to over 12 million patient visits per year, 5 million patient lives, and approximately five billion data points.  

The networks blend quality improvement, effectiveness, and translational research with a data driven-learning system.