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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

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Core Elements, Development, and Implementation Strategies of the Nursing Minimum Data Set: Scoping Review.

Pascal Müller¹, Annabell Gangnus¹, Katrin Gayen¹

¹Health Service Research Working Group, Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 12, Halle (Saale), 06112, Germany, 49 3455574001.

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Summary

This summary is machine-generated.

The Nursing Minimum Data Set (NMDS) offers standardized nursing data for care evaluation. International variability and challenges in adoption persist, requiring collaborative efforts for effective implementation and data utility.

Keywords:

Nursing Minimum Data Set core nursing data elements digital health health information systems nursing documentation nursing informatics standardized nursing data

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Area of Science:

Nursing Informatics
Health Services Research
Data Standards

Background:

Nursing care systems face challenges from demographic shifts, workforce shortages, and increased demand.
Digital technologies can help, but standardized nursing data are crucial for evaluating innovations and care processes.
The Nursing Minimum Data Set (NMDS) is a framework for structured nursing data, but lacks international consensus on content, development, and use.

Purpose of the Study:

To map international literature on NMDS core content elements.
To identify methodological approaches in NMDS development.
To explore NMDS implementation and use across diverse nursing settings.

Main Methods:

A scoping review following JBI and Arksey/O'Malley frameworks.
Systematic searches in MEDLINE and CINAHL databases using "nursing minimum data set."
Inclusion of English/German studies on NMDS content, development, or implementation; independent, double-blinded review.

Main Results:

26 studies met inclusion criteria, showing heterogeneity in NMDS structure (16-145 items).
Four core domains consistently identified: patient demographics, medical care, nursing care elements, and organizational data.
NMDS development involves participatory, multistage approaches; implementation supports documentation, planning, quality assurance, and outcome demonstration, facing challenges in standardization, legal frameworks, and training.

Conclusions:

The NMDS is vital for standardized nursing documentation, quality assurance, and health system planning.
International variability and challenges in harmonization, integration, and acceptance remain.
Advancing NMDS requires collaboration for interoperability, digital infrastructure investment, and education; future research should address comparative effectiveness and reducing documentation burden.