HC 405 Healthcare Quality

HC 405 Healthcare Quality

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HC 405 Healthcare Quality

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HC 405 Healthcare Quality

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Course Code: HC405
University: Herzing University

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Country: United States

An important first step in performance improvement is to conduct an internal data comparison with data collected over a period of time. Once you have a collection of data, you need to aggregate and analyze it to determine opportunities for improvement. This exercise will introduce you to the concepts of data aggregation and analysis, using the case study that we started in Unit 2, “The Case of the Belated Lab Tests”

The provided data does not provide enough information for the establishment of a baseline to the analysis of this data.  The data does not provide the time frames within which the laboratory test was done. In this light, it is not possible to establish how fresh the data collected is. Turnaround test are supposed to be used when very fresh so as to establish better and more accurate results. It is thus not possible from the provided data alone to establish the causes and effects.
Additional data needed to analyze the situation
In order to arrive at more accurate and reliable analysis, the following additional information may be required:

Time of doing the tests: The tests should be done and used when still fresh. The data should include the time frame within which the data was collected. From this information, it will be possible to justify whether the data at hand is fresh or not.
Responses from questionnaires and interviews: Interviews and questionnaires are an element of validating the information(Lee, 2012). The questionnaires and interviews supplement the data.

Check Sheet 5 W” questions from Chapter 5 to generate a list of data that would help your team to analyze this situation
The check sheet will answer the following 5 W questions:

Where was the data collection was done: The data was collected from the laboratory as illustrated in the heading ‘The Case of the Belated Lab Test’.
When the data collection took place: The data collected does not specify the time of the day when the collection was done(Laposata, 2015). The information provided in this light is that the data was collected for the past one week from the secretary logs
Why the data was collected: The data was collected so as to establish the turnaround times and come up with strategies that would enhance future improvements on the current situation.
Who filled the check sheet: The data was fed into the check sheet by a team from the organization tasked with the duty(Freeman, 2015)
Which data was collected:  this question identifies the information gathered. The data was on information about the percentage of tests that were over standard from the provided data. The total number of over standard tests was compared against the each of the STATs, Routines and Urgent tests that were conducted. The percentage proportion of the over standard tests was then established as illustrated on the graph(Thomas, 2013).

Freeman, H. (2015). Hazardous Waste Remediation: Innovative Treatment Technologies. New York: CRC Press.
Laposata, M. (2015). Clinical Diagnostic Tests: How to Avoid Errors in Ordering Tests and Interpreting Results. Salt Lake: Springer Publishing Company.
Lee, M. S. (2012). Mass Spectrometry Handbook. New York: John Wiley & Sons.
Thomas, J. A. (2013). Biotechnology And Safety Assessment. London: CRC Press.

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