Data Analysis
Vila Health
Data AnalysisUse 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.
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
https://media.capella.edu/CourseMedia/MSN6016/VilaHealthDataAnalysis/wrapper.asp
