Achieving "Meaningful Use" of Electronic Health Records Through the Integration of the Nursing Management Minimum Data Set

Bonnie L. Westra, Amarnath Subramanian, Colleen M. Hart, Susan A. Matney, Patricia S. Wilson, Stanley M. Huff, Diane L. Huber, Connie W. Delaney

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

To update the definitions and measures for the Nursing Management Minimum Data Set (NMMDS). 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. 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. The first 3 NMMDS data elements were updated, mapped to LOINC, and publicly disseminated. 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.

Original languageEnglish (US)
Pages (from-to)336-343
Number of pages8
JournalJournal of Nursing Administration
Volume40
Issue number7-8
DOIs
StatePublished - Jan 1 2010

Fingerprint

Electronic Health Records
Nursing
Logical Observation Identifiers Names and Codes
Quality Improvement
Delivery of Health Care
Datasets
Research
Safety

Cite this

Achieving "Meaningful Use" of Electronic Health Records Through the Integration of the Nursing Management Minimum Data Set. / Westra, Bonnie L.; Subramanian, Amarnath; Hart, Colleen M.; Matney, Susan A.; Wilson, Patricia S.; Huff, Stanley M.; Huber, Diane L.; Delaney, Connie W.

In: Journal of Nursing Administration, Vol. 40, No. 7-8, 01.01.2010, p. 336-343.

Research output: Contribution to journalArticle

Westra, Bonnie L. ; Subramanian, Amarnath ; Hart, Colleen M. ; Matney, Susan A. ; Wilson, Patricia S. ; Huff, Stanley M. ; Huber, Diane L. ; Delaney, Connie W. / Achieving "Meaningful Use" of Electronic Health Records Through the Integration of the Nursing Management Minimum Data Set. In: Journal of Nursing Administration. 2010 ; Vol. 40, No. 7-8. pp. 336-343.
@article{deadef55f3a64f149c2366d93fa19508,
title = "Achieving {"}Meaningful Use{"} of Electronic Health Records Through the Integration of the Nursing Management Minimum Data Set",
abstract = "To update the definitions and measures for the Nursing Management Minimum Data Set (NMMDS). 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. 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. The first 3 NMMDS data elements were updated, mapped to LOINC, and publicly disseminated. 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.",
author = "Westra, {Bonnie L.} and Amarnath Subramanian and Hart, {Colleen M.} and Matney, {Susan A.} and Wilson, {Patricia S.} and Huff, {Stanley M.} and Huber, {Diane L.} and Delaney, {Connie W.}",
year = "2010",
month = "1",
day = "1",
doi = "10.1097/NNA.0b013e3181e93994",
language = "English (US)",
volume = "40",
pages = "336--343",
journal = "Journal of Nursing Administration",
issn = "0002-0443",
publisher = "Lippincott Williams and Wilkins",
number = "7-8",

}

TY - JOUR

T1 - Achieving "Meaningful Use" of Electronic Health Records Through the Integration of the Nursing Management Minimum Data Set

AU - Westra, Bonnie L.

AU - Subramanian, Amarnath

AU - Hart, Colleen M.

AU - Matney, Susan A.

AU - Wilson, Patricia S.

AU - Huff, Stanley M.

AU - Huber, Diane L.

AU - Delaney, Connie W.

PY - 2010/1/1

Y1 - 2010/1/1

N2 - To update the definitions and measures for the Nursing Management Minimum Data Set (NMMDS). 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. 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. The first 3 NMMDS data elements were updated, mapped to LOINC, and publicly disseminated. 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.

AB - To update the definitions and measures for the Nursing Management Minimum Data Set (NMMDS). 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. 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. The first 3 NMMDS data elements were updated, mapped to LOINC, and publicly disseminated. 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.

UR - http://www.scopus.com/inward/record.url?scp=77955168452&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77955168452&partnerID=8YFLogxK

U2 - 10.1097/NNA.0b013e3181e93994

DO - 10.1097/NNA.0b013e3181e93994

M3 - Article

VL - 40

SP - 336

EP - 343

JO - Journal of Nursing Administration

JF - Journal of Nursing Administration

SN - 0002-0443

IS - 7-8

ER -