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Data analytics: making the most of input with strategic output.
Lyn Stankiewicz Murphy1, Marisa L Wilson, Robin P Newhouse
1School of Nursing, University of Maryland, Baltimore 21201, USA. lmurphy@son.umaryland.edu
The Journal of Nursing Administration
|July 30, 2013
Summary
Nurse administrators can leverage data analytics for improved decision-making in healthcare settings. This approach enhances quality improvement, patient safety, and evidence-based practice implementation.
Area of Science:
- Nursing Administration
- Healthcare Management
- Evidence-Based Practice
Background:
- Nurse administrators face challenges in diverse healthcare settings.
- Need for practical application of research and evidence-based practice.
- Importance of quality improvement and patient safety initiatives.
Purpose of the Study:
- To highlight key topics in nursing outcomes, research, and evidence-based practice for nurse administrators.
- To discuss practical implications for nurse leaders in various healthcare environments.
- To explore the role of data analytics in enhancing executive decision-making and meaningful use implementation.
Main Methods:
- Review of current hot topics in nursing outcomes and evidence-based practice.
- Discussion of practical applications for nurse leaders.
- Exploration of data analytics and its potential in healthcare decision support.
Main Results:
- Identification of essential elements for evidence-based projects and decision-making.
- Guidance on locating measurement tools for quality and safety projects.
- Demonstration of innovative approaches to organizational challenges using project exemplars.
Conclusions:
- Data analytics offers significant potential to enhance executive decision-making in healthcare.
- Effective implementation of data analytics can support meaningful use objectives.
- Nurse leaders can utilize these strategies to improve organizational outcomes and practice.
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