Vila Health: Data Analysis Paper
Vila Health: Data Analysis Paper
- Use the hospital data set provided in Vila Health: Data Analysis. to analyze data to identify a health care issue or area of concern.
- Include basic information about the health care setting, size, and specific type of care delivery related to the identified topic.
- 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.&
- 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. Vila Health: Data Analysis Paper
- 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.
- 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.
- 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.
- Reflect on the impact of the proposed initiative on work-life quality of the interprofessional team.
- Describe how the initiative enhances work-life quality due to improved strategies supporting efficiency.
- Determine communication strategies to promote quality improvement of interprofessional care.
- Identify interprofessional communication strategies that will help to promote and ensure the success of the QI initiative.
- Identify communication models, such as SBAR and CUS, to include in your proposal.
- SBAR stands for Situation, Background, Assessment, Recommendation.
- CUS stands for “I am Concerned about my resident’s condition; I am Uncomfortable with my resident’s condition; I believe the Safety of the resident is at risk.”
- Consult this resource for additional information about these fundamental evidence-based tools to improve interprofessional team communication for patient handoffs:
- Agency for Healthcare Research and Quality (AHRQ). (n.d.). Module 2: Communicating change in a resident’s condition. https://www.ahrq.gov/professionals/systems/long-term-care/resources/facilities/ptsafety/ltcmod2ap.html Vila Health: Data Analysis Paper
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