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Miami Dade College Ethics in research and Healthcare Statistics Case Study

Miami Dade College Ethics in research and Healthcare Statistics Case Study

Miami Dade College Ethics in research and Healthcare Statistics Case Study

Question Description

INTRODUCTION

Healthcare statistics are integral in keeping track of operational changes in a healthcare organization. Appropriate research methods ensure that the data retrieved via query meet the reporting needs for key stakeholders. While gathering this data, it is equally important that health information management staff adheres to ethical guidelines. The collection of pertinent data via research plays a key role in process improvement in the clinical and operational environment.

Scenario

Felder Community Hospital is a 600 bed facility that serves a large metropolitan area. Senior management requires that all departments must implement quarterly training for their staff members. As the manager of the health information management (HIM) department, you are responsible for quarterly training of the HIM staff. As part of the training design preparation, you decide to analyze certain hospital statistics for the months of May and June. You have also decided to provide an ethics review as part of the staff training as it applies to research and data analysis. You plan to explain how statistical data can be used to improve healthcare delivery in the community. Please reference the “Statistics for Felder Community Hospital” attachment to determine the statistics for the hospital for May and June.

A. Discuss health information data measurement by doing the following:

1. Explain the differences between discrete and continuous data in health information research.

2. Provide one example from healthcare of each of the following scales of measurement:

• nominal

• ordinal

• interval

• ratio

B. Using the scenario, provide the following information by utilizing statistical formulas from the “Task 1 Formulas” attachment:

1. Calculate the average length of stay (LOS) of discharged patients for the months of May and June. (I’ll provide this calculation)

2. Calculate the death rate of patients discharged for the months of May and June.(I’ll provide this calculation)

3. Calculate the average daily inpatient census report for the hospital for the months of May and June.(I’ll provide this calculation)

4. Create a chart or graph showing your findings.

C. Using the attached “Felder LOS Data,” perform a regression analysis on 20 patients with an average length of stay (LOS) of four days and average charges above $27,000. Submit the “Regression Analysis Calculations” spreadsheet as an attachment to your submission.

Note: The Regression Analysis function is found in the Data Analysis Toolpak. The AnalysisToolPak includes the tools described in the following sections. To access these tools, click Data Analysis in the Analysis group on the Data tab. If the Data Analysis command is not available, you need to load the Analysis ToolPak add-in D. Explain how Felder Community Hospital could use the statistical data calculated in parts B and C to improve healthcare delivery.

D. Explain how Felder Community Hospital could use the statistical data calculated in parts B and C to improve healthcare delivery.

E. Using the American Health Information Management Association (AHIMA) code of ethics, do the following:

1. Describe how the code of ethics relates to HIM professional conduct.

2. Explain how principles from the AHIMA Code of Ethics regarding collection and reporting of HIM data should be applied to the scenario.

3. Discuss how HIPAA regulations should be applied to the research performed in the scenario.
F. Acknowledge sources, using APA-formatted in-text citations and references, for content that is quoted, paraphrased, or summarized.

G. Demonstrate professional communication in the content and presentation of your submission.

File Restrictions

File name may contain only letters, numbers, spaces, and these symbols: ! – _ . * ‘ ( )
File size limit: 200 MB
File types allowed: doc, docx, rtf, xls, xlsx, ppt, pptx, odt, pdf, txt, qt, mov, mpg, avi, mp3, wav, mp4, wma, flv, asf, mpeg, wmv, m4v, svg, tif, tiff, jpeg, jpg, gif, png, zip, rar, tar, 7z

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