Data Analysis and Quality Improvement Initiative Proposal for Post-Acute Care and Rehab of Stroke Patients in the Acute Setting
1. Analyze data to identify a health care issue or area of concern.
Identify the type of data you are analyzing from your institution or from the Vila Health activity.
Explain why data matters. What does data show related to outcomes?
Analyze the dashboard metrics. What else could the organization measure to enhance knowledge?
Present dashboard metrics related to the selected issue that are critical to evaluating outcomes.
Assess the institutional ability to sustain processes or outcomes.
Evaluate data quality and its implications for outcomes.
2. Determine whether any adverse event or near-miss data needs to be factored in to outcomes and recommendations.
Examine the nursing process for variations or performance failures that could lead to an adverse event or near miss.
Identify trends, measures, and information needed to critically analyze specific outcomes.
Specify desired outcomes related to prevention of adverse events and near misses.
Analyze which metrics indicate future quality improvement opportunities.
3. Develop a QI initiative proposal based on a selected health issue and supporting data analysis.
Determine benchmarks aligned to existing QI initiatives set by local, state, or federal health care policies or laws.
Identify any internal existing QI initiatives in your practice setting or organization related to the selected issue. Explain why they are insufficient.
Evaluate external national or international QI initiatives on the selected health issue with existing quality indicators from other facilities, government agencies, and nongovernmental bodies on quality improvement.
Define target areas for improvement and the processes to be modified to improve outcomes.
Propose evidence-based strategies to improve quality.
Analyze challenges that meeting prescribed benchmarks can pose for a health care organization and the interprofessional team.
4. Communicate QI initiative proposal based on interdisciplinary team input to improve patient safety and quality outcomes and work-life quality.
Define interprofessional roles and responsibilities relating to data and the QI initiative.
Explain how to ensure all relevant interprofessional roles are fully engaged in this effort.
Identify how outcomes will be measured and data used to inform interprofessional team performance related to specific tasks.
