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Problem statement: critical challenge that continues to emerge is the occurrence of Medication Administration Errors (MAEs) within hospital settings. topic/Aim: To reduce medication administration errors

Problem statement: critical challenge that continues to emerge is the occurrence of Medication Administration Errors (MAEs) within hospital settings.

topic/Aim: To reduce medication administration errors (MAEs) in hospitals from the current rate of 8% to 3% by the end of 2024.

Discuss how you might present data graphically. You might not have an actual graph but there would be discussion of what format you would use to present data. In your case you would be showing the MAE rate measured through 2024. How might you present such data? using incident report form and BCMA implementation

ESTABLISHING MEASURES: How will you know that a change is an improvement? Measurement over time is essential to QI. Measures can be outcome, process, or balancing measures. Baseline or benchmark data are needed to show improvement. What is the baseline in the example? Align your measure with your problem statement and aim. Try to define your measure as a numerator/denominator. SELECTING CHANGES: What changes can be made that will result in improvement? Ideas for changes often come from those working in the system, from other similar improvement efforts, or from change concepts and theory. What are some opportunities for change and improvement? What changes are you considering? What specific change concepts will achieve the Aim? TESTING CHANGES: Continuous improvement is built on small incremental changes, using a systematic scientific approach to test their impact and feasibility. The Plan-Do-Study-Act (PDSA) cycle can be used as a model on which to structure tests of change. Plan: What is the objective of this particular test of change? What do you think will happen and why? How, when, where, and by whom will the change be tested? What data will you collect? Do: What happened as you conducted the test? What did you observe? What problems or unexpected observations were encountered? Study: What data did you collect? What does the data show? How does it compare to your predictions? Is the quality of the data adequate? What did you learn? Include a graph or chart of your data. Act: If the test did not show ideal improvement, what modifications should be made to your change? What would be the plan for the next test? If the test did show desired improvement, what are the next steps for implementing or spreading the change? PROJECT SUMMARY: What were the outcomes of the project? Did you achieve the project goals? What were the main lessons learned? Are the improvements or changes sustainable? How will you implement/spread any identified improvements? What would be the best next steps?

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