Data Analytics and Information Governance – task overview

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School

Western Governors University *

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Course

C803

Subject

Information Systems

Date

May 3, 2024

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docx

Pages

8

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DATA ANALYTICS AND INFORMATION GOVERNANCE – C803 Data Analytics and Information Governance explores the structure, methods, and approaches for using health information in the healthcare industry. By focusing on quality data collection, analytics, and industry regulations, students will examine tools that ensure quality data collection as well as to use data to improve quality of care. This course has no prerequisites. TASK 1: DATA TYPES AND STRUCTURES 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 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. Describe the characteristics of each of the following categories of data that are used in a healthcare setting and include a comparison of how they are similar and different from each other:
primary data secondary data 1. Provide a unique example of how  each  of the categories of healthcare data described in part A may appear 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. Justify why  each  type of data is appropriate for the healthcare setting application that you described in part A1. B. Discuss a specific example of how healthcare record data from uniform data sets can be used in healthcare organizations. 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 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 Chapter 3, 5, 14 Chapter 11, 13
TASK 2: DATA QUALITY COMPETENCIES 730.9.2  :  Data Quality Assessment and Integrity The graduate evaluates key concepts and skills from health information management (HIM) standards and policies to ensure data quality and integrity in an HIM environment. INTRODUCTION Health information management (HIM) professionals are responsible for promoting and maintaining data quality standards. As organizations continue to adopt information systems for managing health information, the implementation of standardized clinical vocabularies and terminologies will change how health information is exchanged across the continuum. SCENARIO You are an HIM manager in a healthcare organization, and you are responsible for training HIM professionals on the principles of data quality. You will create a presentation to accomplish this training. REQUIREMENTS 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. Create a presentation (e.g., PowerPoint, Keynote) to train HIM professionals on the importance and principles of data quality. 1. Include a title slide. 2. Include at  least  one  slide that conveys how data quality is improved by the use of standardized classification systems, including presenter notes  (suggested length of 1–2 paragraphs of notes) . 3. Include at  least   one  slide that conveys how data quality requirements may be included in organizational policies or processes, including presenter notes  (suggested length of 1–2 paragraphs of notes) .
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