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Characterizing Workflow to Inform Clinical Decision Support Systems in Nursing Homes
Mustafa Ozkaynak1, Blaine Reeder1, Cynthia Drake2
1College of Nursing, University of Colorado-Denver, Anschutz Medical Campus, Aurora.
Understanding nursing home workflow is key for effective clinical decision support systems (CDSS). Designing CDSS requires considering multilevel workflow factors for successful implementation in nursing homes.
Area of Science:
- Gerontology
- Health Informatics
- Nursing Home Administration
Background:
- Clinical decision support systems (CDSS) can improve care delivery in nursing homes (NHs) but require workflow integration.
- Successful CDSS implementation hinges on alignment with existing clinical workflows.
Purpose of the Study:
- To characterize multilevel workflow in NHs.
- To identify workflow implications for designing and implementing CDSS in NHs.
Main Methods:
- Descriptive study conducted in two US metropolitan area nursing homes.
- Utilized 18 observation sessions and 15 staff interviews.
- Employed a multilevel work model for data collection and framework method for analysis.
Main Results:
- Identified multilevel workflow characteristics: individual, work group/unit, organization, and industry levels.
- Highlighted themes: staff-resident relationships, resident-centered care, lack of memory aids, and staff preferences influencing work.
- Observed workflow differences between the two NH settings.
Conclusions:
- Study provides a comprehensive understanding of NH workflow at multiple levels.
- CDSS design in NHs must integrate multilevel factors, emergent processes, and contextual elements.
- Incorporating workflow considerations is crucial for effective CDSS design and implementation in nursing homes.
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