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Major Activities

DI works with its partners to:

  1. Host health information databases
  2. Conduct Comparative Effectiveness Research.
  3. Support collaboration among healthcare providers through the Practice Performance Registry.

 

:: DI by the Numbers
The DI collaboration includes 85 healthcare organizations, 13 academic medical centers, 3000 clinicians, extensive IT professionals and electronic health record repositories. Read more about our partners and see a larger map.

Map of DI locations
 

 

 

 

 

 

 

 

 

 

 

 

 

 

Home > About DI

About DARTNet Institute

DI is a non-profit 501(c)3 organization that conducts research, supports collaboration among health care providers and organizations, and hosts data sets of health information for quality improvement and research.

DARTNet Institute's Mission is to transform multi-sourced data into standardized, actionable health information that supports patient care, quality improvement, collaborative learning and research.

Our Vision: a robust health information source that empowers health care professionals and researchers to transform what we know into what we do.  

The DI collaboration includes 85 healthcare organizations, 13 academic medical centers, 3000 clinicians, extensive IT professionals and electronic health record repositories. This federated network provides access to reliable, secure databases for improving quality and fostering research while bettering patient outcomes and medical practices.

How it Works 

Step 1: Federate Data. The power of DI is in the ability to query clinical data across the boundaries of practices and organizations -- this is the way to examine care of very large, geographically diverse populations.

Data from clinical systems such as electronic health records (EHR) and lab systems are captured, de-identified, and standardized. This occurs primarily through decision support tools that also extract the data, transform it, and load it into a federated database. The DI team can then send a query to all federated databases.

Step 2: Improve Clinical Quality. DI data are then used to measure practices on clinical performance and outcomes. This high performers share their best practices with all organizations, fueling clinical quality improvement among all participants.

Step 3: Conduct Comparative Effectiveness Research. Standardized data are available for research through a secure Web portal. Every study requires separate permission from participants grant to use data -- keeping the practices and organizations in full control of how their data are used.

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