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HIM 435: Healthcare Data Analytics and Information Governance

Course Description

This course introduces students to the purpose and value of healthcare data analytics. Students will study data analytical processes that enable decision making. Topics will include: Database management and querying, data visualization, data capture tools, data mining, data warehouses, and decision support. Students will analyze clinical information and data to identify trends of quality, safety, and effectiveness of healthcare. Students will also focus on informatics strategies in the healthcare field and information planning throughout a healthcare organization. (3 credits)

Prerequisites

  • ENG 101: English Composition 1
  • ENG 102: English Composition 2
  • HIM 115: Principles of Health Information Management
  • HIM 315: Healthcare Statistics

Student Learning Outcomes (SLOs)

Upon successful completion of the course, the student will be able to:

  1. Describe the role of data analytics in healthcare operations.
  2. Acquire and manage clinical, financial, surveillance or administration data from electronic systems, portals, mobile applications, and artificial intelligence.
  3. Analyze clinical data to identify trends that demonstrate quality, safety, and effectiveness of healthcare.
  4. Participate in database architecture and design.
  5. Apply knowledge of database querying and data exploration and mining techniques to facilitate information retrieval.
  6. Conduct descriptive, diagnostic and predictive analytics.
  7. Present data in a way that influences decisions, policies, and care delivery models.

Course Activities and Grading

AssignmentsWeight
Discussion (Weeks 1-8)20%
EHR Go Labs (Weeks 1-5)30%
Course Project (Weeks 5-7)50%
Total100%

Required Textbooks

Available through Charter Oak State College's Book Bundle

  • Oachs, P. and A. (2025). Health Information Management Concepts, Principles and Practice - eBook and Courseware. 7th ed. Chicago, IL: American Health Information Management Association. ISBN-13: 9781584269694
  • EHR Go, Quarter Subscription - Access (12 Weeks). ISBN-13: 9780985837976

Additional Resources

  • Microsoft Excel Version 2019 or higher

Course Schedule

Week

SLOs

Readings and Exercises

Assignments

1

1

Topics: Introduction to Healthcare Data Analytics and Informatics

  • Read and Review:
    • Read Chapter 12, starting on p. 326
    • Read Chapter 16, starting on p. 442 and p. 458
    • Read the article: Healthcare Informatics Data Analytics: No, they aren’t the same, and that’s about all everyone can agree on.
    • Watch the video: What is healthcare analytics?
  • Read the assigned Chapters
  • Read the assigned article
  • Watch the assigned video
  • Review the Lecture material
  • Participate in the discussions
  • Complete Week 1 EHR Go Registration
  • Complete Week 1 Quiz

2

4,5

Topic: Database Queries Orientation

  • Read and Review:
    • Read Chapter 5, starting on p. 122 and p. 134
    • Watch the video: Taking a Look at Real Healthcare Data | ICD11, CPT, HCPCS, Claims
  • Read the assigned Chapter
  • Watch the assigned video
  • Review the Lecture material
  • Participate in the discussions
  • Complete Week 2 EHR Go: Query Basic Orientation
  • Complete Week 2 HER Go: Query Advanced Orientation

3

4,5

Topic: Database Queries Practice

  • Read and Review:
    • Read Chapter 5, pp. 130-134
  • Read the assigned Chapter
  • Watch the assigned video
  • Review the Lecture material
  • Participate in the discussions
  • Complete Week 3 EHR Go: Query Colorectal Screen
  • Complete Week 3 HER Go: Query Influenza Vaccine

4

1,2,4,5,6

Topics: Analytics in Healthcare - Data Exploration, Data Mining, Predictive Modeling

  • Read and Review:
    • Read Chapter 16, pp. 441-449
    • Optional: Read Chapter 16, pp. 449-458
    • Watch the video:Introduction to Health Care Data Analytics: Lecture A (ONCHIT)
    • Watch the video: Introduction to Health Care Data Analytics: Lecture B ( OCHIT)
  • Read the assigned Chapter
  • Watch the assigned videos
  • Review the Lecture material
  • Participate in the discussions
  • Complete Week 4 EHR Go: Orientation to Data Analytics 1
  • Complete Week 4 EHR Go: Applied Data Analytics II
  • Complete Week 4 EHR Go: Applied Data Analytics III
  • Review the Introduction to Analytics Project information in Course Documents; assignments due in Weeks 5, 6, and 7.

5

1.2,4,5,6

Topic: Analytics Project - Externally Evaluated Experiential Learning Experience Part 1

  • Read and Review:
    • No textbook reading this week
    • Watch the Video: How Data is Used in Healthcare
    • Optional: Health Care Data Analytics: Unit 3: Secondary Use of Clinical Data Lecture A
    • Optional: Health Care Data Analytics: Unit 3:: Secondary Use of Clinical Data Lecture B
  • Watch the assigned videos
  • Participate in the discussions
  • Review the lecture material
  • Complete Week 5 EHR Go: Orientation to Data Validation IV
  • Submit Week 5 – Analytics Project Part 1

6

2,3,5,6,7

Topic: Analytics Project – Externally Evaluated Experiential Learning Experience Part 2

  • Read and Review:
    • No textbook reading this week
    • Watch the Video: CPHQ exam prep | Root Cause Analysis in Healthcare | Podcast
    • Watch the video: Quality Improvement in Healthcare
    • Watch the video: Excel Charts and Graphs Tutorial
  • Watch the assigned videos
  • Review the Lecture material
  • Participate in the discussions
  • Submit Week 6 – Analytics Project Part 2

7

2,3,5,6,7

Topic: Analytics Project – Externally Evaluated Experiential Learning Experience Part 3

  • Read and Review:
    • No textbook reading this week
    • Watch the Video: Excel Charts and Graphs Tutorial
    • Watch the video: Health Care Data Analytics: Unit 4: Communicating Data Analysis Results
  • Watch the assigned videos
  • Review the Lecture material
  • Participate in the discussions
  • Submit Week 7 – Analytics Project Part 3

8

1-13

Topic: Experiential Learning Reflection

  • Read and Review:
    • No textbook reading this week
  • Participate in the discussions
  • ​Complete Course Evaluation

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COSC Accessibility Statement

Charter Oak State College encourages students with disabilities, including non-visible disabilities such as chronic diseases, learning disabilities, head injury, attention deficit/hyperactive disorder, or psychiatric disabilities, to discuss appropriate accommodations with the Office of Accessibility Services at OAS@charteroak.edu.

COSC Policies, Course Policies, Academic Support Services and Resources

Students are responsible for knowing all Charter Oak State College (COSC) institutional policies, course-specific policies, procedures, and available academic support services and resources. Please see COSC Policies for COSC institutional policies, and see also specific policies related to this course. See COSC Resources for information regarding available academic support services and resources.