attached “ sample data dictionary ” supporting document W r i t i n g

attached “ sample data dictionary ” supporting document W r i t i n g


In this task, you will analyze and resolve duplicates and errors within a master patient index (MPI) in preparation for implementation into a health information exchange (HIE). Additionally, you will evaluate the quality of a data dictionary and create a presentation to summarize your findings.

The purpose of this task is to pull healthcare data, analyze the data, and organize the data into a data dictionary within a database, duties often associated with healthcare analysis and health information management (HIM).


You are a new graduate working at Wizer Hospital as an HIM analyst. You have been asked to compile data into a database for leadership so they can quickly and efficiently pull reports. You have been given an Excel spreadsheet and asked to analyze the data and evaluate a data dictionary. As you are preparing the data, you notice several duplicates and errors within the MPI files that were pulled from the electronic health record (EHR). Ensuring that the data from the MPI files and data dictionary is accurate and that all duplicates are resolved is critical for the facility as they move forward with HIE implementation and interoperability.


Your submission must be your original work. No more than a combined total of 30% of the submission and no more than a 10% match to any one individual source can be directly quoted or closely paraphrased from sources, even if cited correctly. The originality report that is provided when you submit your task can be used as a guide.

You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course.

Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc., unless specified in the task requirements. All other submissions must be file types that are uploaded and submitted as attachments (e.g., .docx, .pdf, .ppt).

A. Refer to the attached “Master Patient Index” to do the following:

1. Identify three duplicate patients.

2. Identify three errors in the data.

B. Refer to the attached “Sample Data Dictionary” supporting document to do the following:

1. Identify three missing elements from the data dictionary.

2. Evaluate whether the data dictionary contains the required elements to meet interoperability standards.

C. Create a presentation about how inaccurate data impacts the ability to share healthcare information with other organizations by doing the following:

1. Summarize your findings from parts A1 and A2.

2. Summarize your findings from parts B1 and B2.

3. Describe a process improvement plan for data entry to ensure patient identification, including the following:

• the problem statement,

• the sources where the data errors could have originated,

• a plan that addresses the steps needed to correct the data errors,

• a plan that addresses what to do if a duplicate cannot be corrected,

• a plan that addresses ongoing maintenance of duplicates,

• a plan that addresses the problem statement

D. Acknowledge sources, using APA-formatted in-text citations and references, for content that is quoted, paraphrased, or summarized.

E. 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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