Six sigma or Lean chapter 7 assignment

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University of Louisiana, Lafayette *

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Health Science

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Dec 6, 2023

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docx

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1 Six Sigma’s or Lean Case Study Federio University Hospital Jasmine Cao University of Louisiana at Lafayette HSA 412 Kristy Courville April 17, 2022

2 The Six Sigma is a methodology that completely analyzes the health care organization process and assesses the needs and expectations of the patients are being delivered. It was developed by the Motorola Corporation and is used to improve quality process by determining and eliminating defects ranging from healthcare to manufacturing. The methodology describes in five steps called the DMAIC. Define is where issues in a process are defined from business and customer perspective. Measure is the process broken down and explored. Analyze data is to identify the underlying root causes of issues. Improve is solutions are developed and implemented to address root causes. Control is solutions are sustained through process control plans. It focuses on ensuring that consistent results are yield from it when applied. The positive aspect of implementing six sigma shows Federio Hospital can have high quality of care. In the case of medicine areas at Federio II University Hospital in Naples used six sigma’s to reduce the risk of healthcare-associated infection. Healthcare-associated infections (HAIs) was known to be important to the world, because it is the most significant cause of illness and death. It is critical to patient if they are at risk for developing HAI, which can include if the patient have an underlying disease, invasive medical device, or complications from surgical procedures. All this risk of HAI can affect the healthcare settings between patients and healthcare workers. Healthcare-associated infection (HAIs) also affect the hospital financially losses for the healthcare systems each year. In the European Center for Disease Prevention and Control reports that HAI affect Europe’s patients every year about four million people. It led to sixteen million extra days of hospital stay leading it to be a big cost of the hospital annual financial losses due to this infection. HAI is a serious problem in this world and many countries lack on resolving the systems in HAIs. The main goal to this study was to reduce the risk of healthcare-associated

3 infection (HAIs) in multiple clinical areas of medicine such as general medicine, pulmonology, oncology, nephrology, cardiology, neurology, gastroenterology, rheumatology, and diabetology. The six-sigma implementation was used in this process to help better improve the healthcare system. The first start of the study was to define the HAI. The define phase starts with the director of the Public Health Department getting all the physicians involved in implementing the case. In each department with any patients that were tested positive for HAI their sample was reported to the microbiology unit. The second step that was used is measure the data collection. The database in the hospital of patient record information was collected. They collected the number of infections of the patients that were being monitor; to study the number of days the patient was admitted in the hospital. In this study, they used a statistical descriptive by using Fisher’s and chi-square tests. It shows the percentage of patients that were colonized was about 0.36% (325 patients) and about 0.37% in the surgical department. The test of Fisher’s did not have any identifications of HAI in patient’s hospitalization days. Chi-square tests were the most accurate on the number of procedures and risk of HAIs. The third DMAIC step is analysis of causes. The tools that were used in this stage is brainstorming and cause-effect diagram. In this stage it was to find the cause of the risk so they can eliminate they can improve the process. The limitation of risk of HAI they used a questionnaire to members of the Hospital Infection Committee. In the questionnaires it showed a lot of things were lacking such as procedures and information. This process of questionnaire shows what they are lacking to improve what needed to be done. The cause-effect diagram was not able to be used in this stage because of the measure phase did not have any relations of HAIs and demographic data.

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