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Terminology: Nursing Interventions Classification System (NIC)


Page last updated July 31, 2006

Description

A comprehensive, research-based, standardized classification of interventions that nurses perform and use for clinical documentation, communication of care across settings, integration of data across systems and settings, effectiveness research, productivity measurement, competency evaluation, reimbursement, and curricular design. An intervention is defined as "any treatment, based upon clinical judgment and knowledge, that a nurse performs to enhance patient/client outcomes." NIC includes interventions that nurses do on behalf of patients, both independent and collaborative interventions, both direct and indirect care.

Contact Information

For Nursing Content:
Sue Moorhead, PhD, RN, Center Director
The Center for Nursing Classification & Clinical Effectiveness
University of Iowa
College of Nursing, 458 Nursing Building
Iowa City, IA 52242-1121
Phone: 319-335-7051
FAX: 319-335-9990
Web site: www.nursing.uiowa.edu/centers/cncce/

For Licenses:
Karen Delany
Elsevier Health Services
1600 John F Kennedy Blvd Suite 1800
Philadelphia PA 19103
Phone 215-239-3278
Email: nicoc@elsevier.com

Latest Version
J. Dochterman & G. Bulechek (Eds.) (2004). Nursing Interventions Classification (NIC) (4th ed.) St. Louis, MO: Mosby, 1062 pages.

Number of Nursing Terms
Interventions - 514

Relationship of NIC to Other ANA Recognized Terminologies and Data Element Sets
Interventions included in ABC codes
Concepts included in SNOMED CT

For further details:
See Full Table of RelationshipsSee Full Table of Relationships
Visit NIC's Web siteVisit NIC's Web site

Relationship to Related National Initiatives

  • NIC (2004) included in the UMLS 2005AC; HL7 Recognized Terminology
  • Included in Cumulative Index to Nursing Literature (CINAHL)
  • Included in the Joint Commission on Accreditation for Health Care Organization's (JCAHO) accreditation requirements as one nursing classification system that can be used to meet the standard on uniform data