Proposal to Bring Nursing Into the Information Age


  • Iowa Intervaention Project

    Corresponding author
    1. The Iowa Intervention Project research team at the University of Iowa developed the Nursing Interventions Classification (NIC). When this paper was drafted, members of the team were Joanne McCloskey and Gloria Bulechek, Co-PIS, Martha Craft-Rosenberg, Jeanette Daly, Janice Denehy, Orpha Click, Tom Kruckeberg, Meridean Maas, Colleen Prophet, Marita Titler, Toni Tripp-Reimer, George Woodworth, Laurie Ackerman, Ida Androwich, Patricia Button, Joan Carter, Mary Clarke, Gloria Dorr, Deb Eaganhouse, Keela Herr, Mary Kanak, Gail Keenan, Sang-Wook Kim, Vicki Klaus, Peg Mehmert, Paula Mobily, Sue Moorhead, Barbara Rakel, Margaret Simons, Vicki Steelman, Mary Tarbox, Bonnie Wakefield, Young-Hee Yom, William Donahue, Sally Blackmon, and Marci Cordaro. We thank the nurses who have participated in the specification of the model and related issues from the following agencies: University of Iowa Hospitals and Clinics, Iowa City, IA; Oaknoll Long Term Care Agency, Iowa City, IA.; Genesis Medical Center, Davenport, IA; Dartmouth-Hitchcock Medical Center, Hanover, NH; and Loyola University Medical Center, Chicago, IL. Copyright for Figure 1 i s retained by the research team.
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Dr. McCloskey, College of Nursing, The University of Iowa, Iowa City, IA 52242.


Purpose: To address issues related to documentation of nursing care and propose a model that illustrates how nursing practice data, collected through the use of standardized languages, are useful to staff nurses, nurse administrators, researchers, and policy makers.

Significance: Obtaining information about nursing practice is critical in times of health care change and reform.

Conclusions: There are three main challenges: the level of detail to document, the inclusion of nursing language in critical paths, and the need for articulation among different nursing classifications.

Implications: With recent advances in nursing classifications, the documentation systems in nursing can now be improved and much of the previous waste and redundancy eliminated.