Classification and Clustering
Classifying and clustering are important methods that may assist healthcare administrators in identifying specific issues or challenges in healthcare delivery or general management of a health services organization. For example, how would you determine if a patient is likely to pay on time, pay late, or not pay a bill? Using classification and clustering techniques can help administrators describe characteristics of their patients.
For this Discussion, review the resources for this week. Then, reflect on how you might apply classification and clustering techniques for your health services organization or one with which you are familiar.
Post a brief description of one of the techniques on classification and clustering examined this week. Explain how the technique you described might apply to your health services organization or one with which you are familiar. Be specific and provide examples.
Assignment: K-Means Clustering
What is “k-means clustering,” and how might it help healthcare administration leaders in their health services organization?
One of the more common methods of clustering is the use of k-means, where “k” is the number of clusters that are meant to describe the population of interest. For example, what if you were interested in segmenting patients based on satisfaction levels? K-means clustering could be used in the same way to help describe this given population.
This technique might assist leaders in determining what characteristics need to be considered in order to study crime and unemployment. In striving to address the problem, k-means clustering is an effective tool for leadership to consider.
For this Assignment, review the resources for this week, and examine the k-means clustering approach. Reflect on how you might apply this approach to an issue or challenge in a health services organization. Then, complete the problems for the Assignment.
For Chapter 17, problem 21, you will need to download the file P17_21.xlsx
The Assignment: (35 pages)
- Complete Problem 21 on page 938 of your course text.
Submit your answers and embedded analysis as a Microsoft Word management report.