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Integrating the nursing management minimum data set into the logical observation identifier names and codes system
Amarnath Subramanian1, Bonnie Westra, Susan Matney
1HealthPartners, Bloomington, MN, USA.
The Nursing Management Minimum Data Set (NMMDS) was integrated into the Logical Observation Identifier Names and Codes (LOINC) system. This integration facilitates the contextualization of quality measures, with initial results showing 48 new codes approved for release.
Area of Science:
- Nursing Informatics
- Health Data Standards
Background:
- The Nursing Management Minimum Data Set (NMMDS) is crucial for measuring the nursing context of care.
- Standardizing nursing data is essential for quality measurement and healthcare system interoperability.
Purpose of the Study:
- To describe the process of integrating the NMMDS into the Logical Observation Identifier Names and Codes (LOINC) system.
- To enhance the contextualization of nursing-sensitive quality measures through data standardization.
Main Methods:
- The NMMDS elements were mapped to the LOINC system.
- Integration focused on the initial three of 18 NMMDS elements.
- New LOINC codes and panels were generated based on the mapping.
Main Results:
- The integration process yielded 48 new LOINC codes.
- These new codes included five distinct panels.
- The proposed mapping received approval from the LOINC Clinical Committee.
Conclusions:
- The integration of NMMDS into LOINC is a feasible and approved process.
- This standardization facilitates the use of nursing data in quality measurement.
- The approved mapping will be included in the next LOINC release, enhancing data comparability.
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