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University of Colorado College of Nursing

College of Nursing
 

Colorado Collaborative for Nursing Research

Nurses Shaping Nursing's Future


Nurses have been reduced too often to being providers of safe care rather than providers of quality care. Pursuit of quality nursing care requires a fresh, nurse-driven look at what quality care looks like. Effective, targeted use of nursing-centered patient-outcome data extracted from the electronic health record (EHR) can inform this nurse-generated picture of quality care.

The Colorado Collaborative for Nursing Research (CCNR) has leveraged partnerships between nurses, informaticists, statisticians, and IT professionals to build a data-sharing infrastructure that helps isolate and capture the proper value of nursing as distinct from other elements of health care delivery.

​CCNR Purpose and Principles

 Executive Summary

As US health care moves rapidly from a volume-based system (i.e., payments based on work performed) to a value-based system (i.e., payments based on outcomes achieved), every aspect of health care delivery is being evaluated.

Evaluation of nursing care reveals a significant disconnect: while nurses represent the biggest percentage of the health care workforce and have the most patient contact, nurses’ work is absent from or difficult to isolate in electronic health record (EHR) data. Without data that capture nurses’ contributions, chief nursing officers (CNOs) and other health care decision-makers are making suboptimal care delivery-related decisions.

In response to this urgent health care need, the Colorado Collaborative for Nursing Research (CCNR) has built the first ever nursing-centered distributed data network: the Common Unified Patient-Indicator Data (CUPID) system. CUPID employs federated data architecture operationalized by PopMedNet open source software. CUPID is overseen and driven by a Nurse Scientist Research Group. The Nurse Scientists are supported by the CCNR Analytics Core, a statistical and research support unit providing advanced analytic services to CCNR members.

All in all, the CCNR empowers nurses to shape nursing’s future.​

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 Our Mission

The Mission of the CCNR is to:

  • capture and quantify quality nursing care by developing new, robust, nurse-sensitive patient-outcome metrics
  • offer membership in a distributed data federation that isolates and extracts nurse-sensitive patient-outcome data in EHR and provides timely, trended data visualizations to capture the impact of nursing care in near-real time.
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 Our Vision

The Vision of the CCNR is to optimize nurse-sensitive patient outcomes and maximize individual and population health by providing nurse leaders, nurse scientists, and nurse clinicians with the following:

  1. A physical and virtual think tank for developing nurse-driven queries and setting nurse-driven agendas.
  2. Statistical support for application of advanced, user-driven analytics.
  3. A powerful, targeted, and responsive IT tool for QI and benchmarking purposes.
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 Our Personnel

CCNR Faculty

CCNR Staff

  • Jason Weiss
  • Eric Gutierrez
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 Publications

  1. Providing Trended Nurse-Sensitive Patient Outcome Data Across Entities: Karen Sousa, Blaine Reeder, Jessica Bondy, Mustafa Ozkaynak, Jason Weiss
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