Objective: To update the definitions and measures for the Nursing Management Minimum Data Set (NMMDS).
Background: Meaningful use of electronic health records includes reuse of the data for quality improvement. Nursing management data are essential to explain variances in outcomes. The NMMDS is a research-based minimum set of essential standardized management data useful to support nursing management and administrative decisions for quality improvement.
Methods: The NMMDS data elements, definitions, and measures were updated and normalized to current national standards and mapped to LOINC (Logical Observation Identifier Names and Codes), a federally recognized standardized data set for public dissemination.
Results: The first 3 NMMDS data elements were updated, mapped to LOINC, and publicly disseminated.
Conclusions: Widespread use of the NMMDS could reduce administrative burden and enhance the meaningful use of healthcare data by ensuring that nursing relevant contextual data are available to improve outcomes and safety measurement for research and quality improvement in and across healthcare organizations.
Authors' Affiliations: Assistant Professor (Dr Westra), Professor and Dean (Dr Delaney), Doctoral Student (Ms Hart), School of Nursing, University of Minnesota, Minneapolis; Medical Director (Dr Subramanian), Department of Pathology, Health Partners, Bloomington, Minnesota; Doctoral Student (Ms Matney), Office of the Associate VP for Health Sciences Information Technology, University of Utah, Salt Lake City; Senior Content Engineer (Ms Wilson), 3M Health Information Systems Incorporated, Murray, Utah; Clinical Professor Biomedical Informatics (Dr Huff), Intermountain Health Care, Salt Lake City, Utah; Professor (Dr Huber), College of Nursing, University of Iowa, Iowa City.
Corresponding author: Dr Westra, University of Minnesota, School of Nursing, WDH 5-140, 308 Harvard St SE, Minneapolis, MN 55455 (firstname.lastname@example.org).