Vila Health: Data Analysis

• 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.

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.

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1. 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.
2. 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

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