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Nursing measures: implementation considerations: lessons learned from the field
Keith Kosel1, Lillee Gelinas, Connie Paxson
1VHA Inc.
Healthcare performance measurement requires considering the end-users collecting and submitting data. Future research should focus on optimizing the design and deployment of these crucial healthcare metrics.
Area of Science:
- Health Services Research
- Healthcare Quality Improvement
- Health Informatics
Background:
- The healthcare industry increasingly relies on data-driven initiatives like performance measurement and pay for quality.
- Effective healthcare metrics depend on the usability and accessibility of data collection and submission processes.
- Understanding the end-user perspective is critical for successful implementation of healthcare quality measures.
Purpose of the Study:
- To highlight key issues encountered in the field regarding healthcare performance measures.
- To identify research opportunities for improving the design and deployment of healthcare metrics.
- To ensure that measurement developers consider the needs of data collectors and analysts.
Main Methods:
- Review of field experiences and challenges in healthcare data collection and submission.
- Analysis of current practices in performance measurement and pay for quality initiatives.
- Identification of gaps and opportunities for future research in metric design.
Main Results:
- Several key issues were identified from practical field experiences with healthcare measures.
- Opportunities for research exist in optimizing the design and deployment of performance metrics.
- End-user needs are often overlooked, impacting data quality and analysis.
Conclusions:
- Measurement developers must prioritize the needs of end-users involved in data collection and analysis.
- Further research is needed to enhance the design and deployment of healthcare performance measures.
- Addressing field-learned issues will improve the effectiveness of data-driven healthcare initiatives.
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