Application of Six Sigma Methodology in Surgery Essay

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Introduction

The application of adequate theoretical and practical frameworks aimed at optimizing care and improving methods of medical assistance is a rational approach. One of these tools is the Six Sigma principle, which is based on careful planning and measurement of the results of the operational process to reduce the likelihood of potential errors and defects. In medical practice, this approach can be implemented in different contexts, and one of the possible solutions for its application concerns the use of an appropriate algorithm in surgical departments to reduce surgical complications.

Discussion

The effectiveness of applying the methodology under consideration is due to a number of factors. According to Improta et al. (2019), this mechanism “enables easier problem solving and increases the speed and effectiveness of any process” (p. 527). By being able to plan work based on a clear order of procedures justified by a valid analysis, clinicians can avoid delays in performing relevant tasks. As Improta et al. (2019) argue, the length of hospital stay depends on many factors, and post-operative complications exacerbated by poor planning and an underdeveloped economic base are common causes. In this regard, the objective of the surgical staff is reduced to the productive addressing of restraints and the timely assessment of those factors that may aggravate the risk factors. Medical employees cannot influence the economic barriers, but in relation to surgical complications, the clear task is to provide quality care and take all necessary preventive measures.

A clear planning framework, which is built due to the Six Sigma concept, allows for forming a work plan through a step-by-step analytical algorithm. Ricciardi et al. (2020) mention defining, measuring, controlling, and several other steps that together help surgeons achieve higher performance outcomes. The authors also offer specific calculations; through the application of this framework in their study, the average length of stay of surgical patients in departments has decreased by almost 20%, which also indicates a decrease in the rate of complications (Ricciardi et al., 2020, p. 461). An efficient scheduling algorithm helps eliminate potential errors and contributes to preventing problems rather than addressing them after identification. As a result, the methodology is a reliable and valuable framework.

The use of the Six Sigma methodology complements the work of surgeons by building a model of care in which any shifts or defects regarding patients’ post-operative conditions are anticipated in advance. According to Schretlen et al. (2021), such a system takes longer to implement due to expanded analytical mechanisms and the use of deeper planning tools. However, while taking into account the final outcomes, one can see that, in the end, the proportion of complications decreases, which is a critical indicator of the effectiveness of the surgical staff. Thus, this methodology may be more time-consuming compared to conventional care mechanisms, but through planning and preventive measures, surgical complications are substantially reduced through intelligent prediction and prevention.

Conclusion

Given the aforementioned factors, the Six Sigma methodology can be considered a sustainable and valuable framework for reducing surgical complications. A step-by-step planning process and clear analytical algorithms involved in this concept are strong criteria in favor of its application in the appropriate care environment. Despite the longer time required to build a valid and sustainable analytical model, the Six Sigma methodology proves its effectiveness in practice, which is confirmed by real measurements.

References

Improta, G., Balato, G., Ricciardi, C., Russo, M. A., Santalucia, I., Triassi, M., & Cesarelli, M. (2019). . The TQM Journal, 31(4), 526-540. Web.

Ricciardi, C., Balato, G., Romano, M., Santalucia, I., Cesarelli, M., & Improta, G. (2020). . The TQM Journal, 32(3), 461-474. Web.

Schretlen, S., Hoefsmit, P., Kats, S., van Merode, G., Maessen, J., & Zandbergen, R. (2021). . BMJ Open Quality, 10(3), e001342. Web.

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