UHM1 — UHM1 TASK 1: DATA TYPES AND STRUCTURES
DATA ANALYTICS AND INFORMATION GOVERNANCE — C803
PRFA — UHM1
Preparation Task Overview Submissions Evaluation Report
COMPETENCIES
730.9.1 : Health Data Structures, Usage, and Data Collection Tools
The graduate organizes healthcare data with the use of data structures and collection tools to support
organizational needs.
INTRODUCTION
Health information management professionals may participate in data dictionary development projects.
The ability to identify necessary data elements is assisted by the use of uniform data sets. In this task, you
will explore the role that different data types and data structures play in a healthcare setting.
SCENARIO
You are working with other health information management professionals to build data tables for a
healthcare organization. Your team has been assigned the job of taking the data elements found in various
uniform data sets and building a data dictionary for each uniform data set. You must understand the
different types of healthcare data so that you can apply the correct ones to your data tables.
REQUIREMENTS
Your submission must represent your original work and understanding of the course material. Most
performance assessment submissions are automatically scanned through the WGU similarity checker.
Students are strongly encouraged to wait for the similarity report to generate after uploading their work
and then review it to ensure Academic Authenticity guidelines are met before submitting the file for
evaluation. See Understanding Similarity Reports for more information.
Grammarly Note:
Professional Communication will be automatically assessed through Grammarly for Education in most
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performance assessments before a student submits work for evaluation. Students are strongly
encouraged to review the Grammarly for Education feedback prior to submitting work for evaluation, as
the overall submission will not pass without this aspect passing. See Use Grammarly for Education
Effectively for more information.
Microsoft Files Note:
Write your paper in Microsoft Word (.doc or .docx) unless another Microsoft product, or pdf, is specified
in the task directions.ꢀTasks mayꢀnotꢀbe submitted as cloud links, such as links to Google Docs, Google
Slides, OneDrive, etc. ꢀAll supporting documentation, such as screenshots and proof of experience, should
be collected in a pdf file and submitted separately from the main file.ꢀFor more information, please
see Computer System and Technology Requirements.
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.
A. Describe the characteristics of the primary data and secondary data that are used in a healthcare
setting and include a comparison of how they are similar and different from each other.
1. Provide a unique example of how each of the categories of healthcare data described in part A can
be applied in a healthcare setting.
2. Describe a relevant potential source of data and how the data could be collected for each
application of healthcare data you described in part A1.
3. Discuss why each type of data is appropriate for the healthcare setting application that you
described in part A1.
B. Discuss an example of how healthcare data from uniform data sets can be used in a specified type of
healthcare organization.
C. Describe a specific application of data dictionaries within a health information (HI) system.
1. Justify how the use of data dictionaries could improve an organization’s communication across the
continuum of care.
D. Acknowledge sources, using 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, csv, 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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