2019 Workgroups

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Care coordination

To identify shareable and comparable data across settings to support care coordination activities and improve patient outcomes.
Key Priorities

  1. Identify data elements (e.g. demographics, risks, SDOH, etc.) used by care coordinators for patient care.
  2. Identify documented care coordination activities.
  3. Explore opportunities to gather care coordination data elements used across settings.

Workgroup report 2018-19 (PDF)

Clinical data analytics

Demonstrate the value of sharable and comparable nurse-sensitive data to support practice and translational research for transforming health care and improving patient quality and safety. The subgroups are: Data Science, Population Health Informatics, and Validation of Information Models.

Workgroup report 2018-19 (PDF)

Context of care

Demonstrate sharable and comparable nurse data across the care continuum by capturing nursing “big data” in the Nursing Management Minimum Data Set (NMMDS), the Nursing Minimum Data Set (NMDS) and the Nursing Knowledge: Big Data Science Conference Nursing Value Data Set (NVDS) to increase nurse data usability, provide patient, family and community centric data and, fortify data generated by nurses, about nurses and nursing care across the care continuum and across care transitions in all settings where nurses provide care.

Workgroup report 2018-19 (PDF)


Ensure that faculty and system’s educators who impact practicing nurses and nursing students are competent and capable to mentor those they influence to be full participants or leaders in a technology rich environment where they are able to use information technology to process data to form information and knowledge.

Workgroup report 2018-19 (PDF)

Engage and equip all nurses in health IT policy

Equip nurses with education, tools and resources and engage them as knowledgeable advocates for health IT policy efforts important to nursing.

Workgroup report 2018-19 (PDF)


Develop and disseminate LOINC and SNOMED CT for electronic health record nursing data elements and incorporate them into a framework and repository for dissemination.

Workgroup report 2018-19 (PDF)


Develop and implement a repository designed to collect nursing informatics best evidence in the form of documents, surveys, instruments, algorithms, for example.

Workgroup report 2018-19 (PDF)

Mobile health for nursing

Explore the use of mobile health (mHealth) data by nurses including both nursing-generated data and patient-generated data. Identify and support activities and resources to address unmet needs and create opportunities to utilize mHealth data within nursing workflows.

Workgroup report 2018-19 (PDF)

Social Determinants of Health

Support the inclusion, interoperability and data exchange of Social Determinants of Health (SDOH) data in electronic health records, personal and m-health tools, community and public health portals across care settings. Empower nurses (practice, education, research, policy) to use SDOH data as context for planning and evaluating care. Develop a roadmap to engage nurses to improve population health through large-scale adoption of SDOH.

Workgroup report 2018-19 (PDF)

Transforming documentation workgroup

  • Explore ways to decrease the documentation burden and serve up information in the electronic health record at the right time in the workflow to support evidence-based and personalized care.
  • Elevate purpose-driven, role-based, patient-centric, evidence informed documentation transformation to capture nurse observations and interventions and drive purposeful secondary-use and precision nursing.
  • Transformation supports enhanced data utilization to drive and measure improvement in patient outcomes and illuminate nursing’s value and contribution in healthcare.
  • The Admission History Cross-WG Task Force is charged with defining a model for Nursing Admission History for the adult patient admitted to an acute care facility for medical/surgical care. The outputs will provide the foundation for continued work in defining Nursing Admission History for other patient populations and care settings.

Workgroup report 2018-19 (PDF)

Nursing value

To measure the value of nursing care as well as the contribution of individual nurses to clinical outcomes and cost.  Develop big data techniques for secondary data analysis that will provide metrics to monitor quality, costs, performance, effectiveness, and efficiency of nursing care.

Workgroup Report 2018-19 (PDF)