Determining and measuring outcomes is essential in helping an organization improve and adopt best practices in patient care, thus further improving outcomes. Some of the approaches used to measure outcomes include Failure mode and effect analysis (FMEA), Pareto principle, and Control charts. Control charts are graphs that analyze process variations over a specific timeline. FMEA is an organized method for process evaluation processes to identify potential failures and how they may transpire (Aminu, 2020). FMEA also assesses the associated effect of a specific shortcoming to identify changes that should be implemented to prevent the shortcoming in the future.
The Pareto principle asserts that 20% of efforts lead to 80% of the results. It is used to identify an area of weakness and the likely causes. It identifies the factors that cause 80% of the outcomes (Aminu, 2020). The chart contains three lines: A central line representing the mean, an upper and lower line symbolizing the upper control limit, and the lower control limit (Aminu, 2020). A control chart is considered an excellent tool for quality improvement.
Of the three approaches, I consider the FMEA the best approach to determining and measuring outcomes. The FMEA method has the benefit of recognizing and accessing any failures and offers information on the impact of the potential failure (Liu et al., 2020). Data obtained from the FMEA approach provides crucial information for the timely identification of related potential shortcomings. I chose the FMEA because it helps an organization identify potential failures, for instance, in patient care, and thus take the necessary actions to address them (Liu et al., 2020). For example, when there is a failure in a health organization, the FMEA will help identify the failure through a rapid investigation. It will also identify measures to correct the failure for the organization to start the corrective measures and solve the specific failure.
References
Aminu, M. (2020, September 6). Quality improvement tools in health & social care. https://draminu.com/quality-improvement-tools/
Liu, H. C., Zhang, L. J., Ping, Y. J., & Wang, L. (2020). Failure mode and effects analysis for proactive healthcare risk evaluation: a systematic literature review. Journal of evaluation in clinical practice, 26(4), 1320-1337. https://doi.org/10.1111/jep.13317
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