Module 2 Journal dat 375

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School

Southern New Hampshire University *

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Course

375

Subject

Statistics

Date

Apr 3, 2024

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docx

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Uploaded by CoachRockOctopus16

DAT 375 Southern New Hampshire University Module Two Journal Clarify the Problem: We were hired by the hospital as a data analyst in order to complete an internal study of the facilities and it’s common injuries. Specifically, we are tasked with comparing the most common injuries in the past decade, in the infant/child age range, with the most common injuries in this same age range at this given hospital for the previous ten years. This analysis will be able to give us insight into how different or similar the common child injuries at this hospital are from the past 10 years and the previous 10 years before that. This analysis can provide information regarding injury history and injury patterns which can help hospital staff in terms of planning and staffing. We do need access to personal and secure hospital records so we need to be aware of that. Isolate and Extract: According to the CDC, the infant age range is from 0-1 years old (Child Development: Infants (0-1 Years) | CDC, 2021). The age range for a child could essentially be anyone from the age of 1-18. For the sake of the study, we could minimize it a bit, for example, 1-12. If we are using this age range, we need to be consistent for both data sets. Both data sets will have the same default location and the same default age ranges. The time from for data set 1 will be the past 10 years and, for data set 2, the previous 10 years before that. Our first step would be to access the hospital records system and gather all of the data from the past 20 years. This is going to be massive data set, so we then want to specify is by age range. Like previously stated, for the sake of this analysis, we will only be looking at the injuries from age 0-12 (unless the hospital

has pre-defined parameter for what is classified as a child). At this point, we should have 2 separate data sets, one from the previous 10 years and one for the 10 years prior to that. Once we have these separated, we can also categorize the injuries by severity for easier and more accurate analysis, ranging from broken bones to a life-threatening injury. Explanation: The variables of age, hospital location, timeframe, and type of injury are all necessary for this study which is the reason I choice to extract them. The age range is specific to this study, as the hospital is interested in the injuries in the infant/child category. The location is a given as we are only conducting an internal study. The time frame of the injury is how we are separating out two data sets. We are looking at the past 10 years and the previous 10 years before that. The type/name of injury is necessary because we are looking to compare the injuries from the two different time periods to see if we can notice any commonalities or patterns. I believe organizing the data in terms of the severity of the injury is an optional decision, I think it would make the analysis a lot smoother and could be easier to draw some conclusions.

Resources: Child Development: Infants (0-1 years) | CDC . (2021, November 29). Centers for Disease Control and Prevention. https://www.cdc.gov/ncbddd/childdevelopment/positiveparenting/infants.html

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