Session 2 Lessons Learned - Mar. 3 @ 11_15 pm

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Apr 3, 2024

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1 Session 2 Lessons Learned Jamie Miller CCU HCA 430 Dr Larry Johnson March 3, 2024
2 Session 2 Lessons Learned The common measures of central tendency include mode median and mean. In a data set, these measures are the averages. There is a difference between measures of central dispersion and central tendency. Central dispersion measures the spread of data, while distribution shows the center of a distribution. These functions are used in Six Sigma and Lean to reduce errors and enhance quality control. These are tools that can aid a person in the field of healthcare administration. Healthcare administration has many challenges. We can use our faith to navigate any moral or ethical dilemma that may arise. High quality patient care and being profitable is the goal. These tools can be used to steer any organization in the right direction. According to our text book, the central tendency is defined as“ the degree of clustering values in a statistical distribution and is usually measured by arithmetic mean, median or mode.” (Kros, J. F., & Rosenthal, D. A.pg. 184, (2016). The mean is usually referred to as the average. This data point determines which direction the data is skewed. This can go towards the right or the left. This can be referred to as a simple average. Median is located in the middle of the data set. It is the middle number. Half of the data sets are located above, and the other half are located below the median. The mode is the most common value that appears in a data set. It is the sum of all values divided by the total number of all the values. Together, these function to describe a set of data.
3 Extracting data points is important information because it can be used in alignment with Six Sigma Lean to enhance quality control methods and policy implementation. This can help the healthcare administration determine which direction to steer the organization. An example would be reducing wait times. We can log the wait time of each patient. We can then find the mean, median and mode. The data sets can then be submitted for review. We can then apply the Six Sigma Lean method for further quality control. This can improve workflows, thus reducing the average wait time for each patient. If my boss was on their way to an important meeting, and I could only present one set of data, I would choose this, as it's a great way to sum up all the available data. Integrating our faith in the workplace is a great idea. In fact, we can propel ourselves to success by showing others how to navigate any moral or ethical dilemmas that may arise. An example in healthcare would be peoples opinions about death and dying. The patient has the right not to be resuscitated. Some states allow self-euthanasia per new laws. We should not shy away from these dilemmas, but instead be ready to deal with them. We could use Six Sigma Lean combined with mean, median and mode, to bring forth data showing the frequency we may encounter such scenarios. James 3:17 states “But the wisdom that is from above is first pure, then peaceable, gentle, willing to yield, full of mercy and good fruits, without partiality and without hypocrisy.” (NKJV, BibleStJames 3:17, (2023)SudyTools.) Works Cited:
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4 Kros, J. F., & Rosenthal, D. A. (2016). Statistics for health care management and administration: Working with Excel (3rd ed.) NKJV, Bible James 3:17, (2023) SudyTools. Retrieved March 03, 2024, from https://www.biblestudytools.com/james/3-17-compare.html