Syllabus
Master of Science in Health Informatics
HIN 715 – Health Data Analysis, Visualization, and Storytelling
Credits - 3
Description
Large data sets are not useful in their native state. Informaticists have to begin by defining the question that will be answered by the data and then organizing, analyzing, and visualizing the dataset. Analytics provide meaningful patterns in the data, and data visualization communicates the information clearly through graphical means. This course is designed to familiarize students with core concepts in communicating information through effective data visualization. This course introduces students to data visualization elements and best practices in data visualization using Tableau. Students will gain hands-on experience building explanatory and exploratory visualizations using healthcare data.
Materials
Learning Objectives and Outcomes
Program Outcome addressed by this course:
- Apply core concepts of database design to facilitate managing data produced and captured in the healthcare setting
Course Outcomes:
Upon completion of the course, students will be able to:
- Create a variety of types of graphics in order to visualize data appropriately
- Normalize data in order to make use of it in visualizations
- Evaluate a research question in order to select appropriate method(s) of visualization
Assignments
Please note that all times in the syllabus and in Blackboard refer to Eastern Time. The discussion board for each week will open at the start of the week for submissions.
Discussion Board Posts:
These assignments will assess your ability to clearly and accurately apply concepts from your readings and from your own experiences. Each week you are expected to submit an initial post and comment on at least 2 other students’ posts. You need to follow APA guidelines for citing any sources you may reference in either your initial post or your response to others. Refer to the Discussion Rubric and discussion question for submission guidelines.
Initial post: You should submit your initial post by 11:59 p.m. Sunday. Your initial post should be approximately 500 words.
Response to others: You should comment on at least 2 other students’ posts by 11:59 p.m. Wednesday. Your comments to others should be thorough, thoughtful, and they should offer some new content. Do not merely respond with “I agree” or “I disagree.” Engage directly with the ideas of your classmates and briefly mention which part of the post you are responding to.
Weekly Assignments:
In weeks 1-4 and 6 there are a number of short assignments. You will use either Tableau or Excel to create these assignments. Please see Blackboard for specifics and rubrics.
Key Assessments:
There are two key assessments for this course in which you will be asked to develop your own visualizations. The weekly assignments support and provide the knowledge and skills needed to complete these assessments. In these assessments, you will apply the core concepts in communicating information through effective data visualization.
Key Assessment 1, Explanatory Visualization Presentation – In week 5, you will use what you have learned in the first 4 weeks to create an explanatory visualization presentation to compare physician performance on a number of quality measures. Then, you will use a screencasting tool such as Screencast-o-Matic to present your visualizations. Please see Blackboard for specifics and rubrics.
Key Assessment 2, Exploratory Research, Visualizations, and Presentation – In this two-part assessment, you will integrate what you have learned into an interactive dashboard of your own creation.
Part 1: In week 7, you will research publicly available datasets for a health topic of your choice, then write a use case and description of your methods for visualizing your data, along with 3-5 references.
Part 2: In week 8, you will communicate your research visualizations in either a poster presentation or an interactive Tableau Dashboard. You will also record a 5-10 minute screencast presenting your visualization.
Please see Blackboard for specifics and rubrics.
Grading Policy
Your grade in this course will be determined by the following criteria:
Grade Breakdown
| Assessment Item | Possible Points | Percent of Total Grade |
|---|---|---|
| Discussion Forums (6) | 18 pts - (3 pts each) | 18% |
| Weekly Assignments (weeks 1-4, 6) | 42 points (point values vary by week) | 42% |
| Key Assessment 1: Explanatory Visualization Presentation (week 5) | 18 points | 18% |
| Key Assessment 2, Part 1: Exploratory Research and Visualizations (week 7) | 10 points | 10% |
| Key Assessment 2, Part 2: Exploratory Visualizations and Communicating Results (week 8) | 12 points | 12% |
| Total | 100 pts | 100% |
Schedule
Course learning modules are divided into weeks. Each week starts on Wednesday at 12:00 am Eastern Time (ET) and closes on Wednesday at 11:59 pm ET, with the exception of Week 8, which ends on Sunday. All assignments must be submitted by 11:59 pm ET on the due date.
Course Schedule
Week 1: Jul 3 – Jul 10
Week 2: Jul 10 – Jul 17
Week 3: Jul 17 – Jul 24
Week 4: Jul 24 – Jul 31
Week 5: Jul 31 – Aug 7
Week 6: Aug 7 – Aug 14
Week 7: Aug 14 – Aug 21
Week 8: Aug 21 – Aug 25
| Learning Modules | Topics | Assignments and Due Dates |
|
Week 1 |
What is Data Visualization? |
Introductory Discussion Three Short Assignments due Wednesday |
|
Week 2 |
Understanding Use Cases and Creating Simple Charts |
Discussion – Initial post by Sunday, responses by Wednesday Three Short Assignments due Wednesday |
|
Week 3 |
Understanding Descriptive Statistics and Building Intermediate Charts (Part 1) |
Discussion – Initial post by Sunday, responses by Wednesday Four Short Assignments due Wednesday |
|
Week 4 |
Understanding Descriptive Statistics and Building Intermediate Charts (Part 2) |
Discussion – Initial post by Sunday, responses by Wednesday Four Short Assignments due Wednesday |
|
Week 5 |
Explanatory Visualizations |
Discussion – Initial post by Sunday, responses by Wednesday Key Assessment 1: Explanatory Visualization Presentation due Wednesday |
|
Week 6 |
Principles of Good Visualizations |
Discussion – Initial post by Sunday, responses by Wednesday Create a Dashboard Assignment due Wednesday |
|
Week 7 |
Exploratory Research and Visualizing Findings |
Discussion – Initial post by Sunday, responses by Wednesday Key Assessment 2, Part 1: Exploratory Research and Visualizations due Wednesday |
|
Week 8 |
Communicating Results |
Discussion – Initial post by Friday, responses by Sunday Key Assessment 2, Part 2: Exploratory Visualizations and Communication Results due Sunday |
Student Resources
Online Student Support
Your Student Support Specialist is a resource for you. Please don't hesitate to contact them for assistance, including, but not limited to course planning, current problems or issues in a course, technology concerns, or personal emergencies.
Questions? Visit the Student Support Health Informatics page
APA Style Guide
UNE Libraries:
- Library Access for all students: Your library login ID and password are the same as the ones you use to log into Blackboard/Brightspace.
- MSIN Databases: https://library.une.edu/library-materials/find/research-by-subject/health-informatics/
- Library Questions: Ask a librarian or phone library staff at (207) 602-2361 or (207) 221-4330.
UNE Student Academic Success Center
The Student Academic Success Center (SASC) offers a range of services to support your academic achievement, including tutoring, writing support, test prep and studying strategies, learning style consultations, and many online resources. To make an appointment for tutoring, writing support, or a learning specialist consultation, go to une.tutortrac.com. To access our online resources, including links, guides, and video tutorials, please visit:
Accommodations
Any student who would like to request, or ask any questions regarding, academic adjustments or accommodations must contact the Student Access Center at (207) 221-4438 or pcstudentaccess@une.edu. Student Access Center staff will evaluate the student's documentation and determine eligibility of accommodation(s) through the Student Access Center registration procedure.
Online Peer Support
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Information Technology Services (ITS)
Students should notify their Student Support Specialist and instructor in the event of a problem relating to a course. This notification should occur promptly and proactively to support timely resolution.
ITS Contact: Toll-Free Help Desk 24 hours/7 days per week at 1-877-518-4673.
Career Ready Program
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Policies
Technology Requirements
Please review the technical requirements for UNE Online Graduate Programs: Technical Requirements
Turnitin Originality Check and Plagiarism Detection Tool
The College of Professional Studies uses Turnitin to help deter plagiarism and to foster the proper attribution of sources. Turnitin provides comparative reports for submitted assignments that reflect similarities in other written works. This can include, but is not limited to, previously submitted assignments, internet articles, research journals, and academic databases.
Make sure to cite your sources appropriately as well as use your own words in synthesizing information from published literature. Webinars and workshops, included early in your coursework, will help guide best practices in APA citation and academic writing.
You can learn more about Turnitin in the guide on how to navigate your Similarity Report.
Information Technology Services (ITS)
ITS Contact: Toll Free Help Desk 24 hours/7 days per week at 1-877-518-4673
Course Evaluation Policy
Course surveys are one of the most important tools that University of New England uses for evaluating the quality of your education, and for providing meaningful feedback to instructors on their teaching. In order to assure that the feedback is both comprehensive and precise, we need to receive it from each student for each course. Evaluation access is distributed via UNE email at the beginning of the last week of the course.
Late Policy
Assignments: Late assignments will be accepted up to 3 days late; however, there is a 10% grade reduction (from the total points) for the late submission. After three days the assignment will not be accepted.
Discussion posts: If the initial post is submitted late, but still within the discussion board week, there will be a 10% grade reduction from the total discussion grade (e.g., a 3 point discussion will be reduced by 0.3 points). Any posts submitted after the end of the Discussion Board week will not be graded.
Please make every effort ahead of time to contact your instructor and your student support specialist if you are not able to meet an assignment deadline. Arrangements for extenuating circumstances may be considered by faculty.
Attendance Policy
8 week: Students taking online graduate courses through the College of Professional Studies will be administratively dropped for non-participation if a graded assignment/discussion post is not submitted before Sunday at 11:59 pm ET of the first week of the term. Reinstatement is at the purview of the Dean's Office.
16 week: Students taking online graduate courses through the College of Professional Studies will be administratively dropped for non-participation if a graded assignment/discussion post is not submitted before Friday at 11:59 pm ET of the second week of the term. Reinstatement is at the purview of the Dean's Office.
Student Handbook Online - Policies and Procedures
The policies contained within this document apply to all students in the College of Professional Studies. It is each student's responsibility to know the contents of this handbook.
UNE Course Withdrawal
Please contact your student support specialist if you are considering dropping or withdrawing from a course. The last day to drop for 100% tuition refund is the 2nd day of the course. Financial Aid charges may still apply. Students using Financial Aid should contact the Financial Aid Office prior to withdrawing from a course.
Academic Integrity
The University of New England values academic integrity in all aspects of the educational experience. Academic dishonesty in any form undermines this standard and devalues the original contributions of others. It is the responsibility of all members of the University community to actively uphold the integrity of the academy; failure to act, for any reason, is not acceptable. For information about plagiarism and academic misconduct, please visit UNE Plagiarism Policies.
Academic dishonesty includes, but is not limited to the following:
- Cheating, copying, or the offering or receiving of unauthorized assistance or information.
- Fabrication or falsification of data, results, or sources for papers or reports.
- Action which destroys or alters the work of another student.
- Multiple submissions of the same paper or report for assignments in more than one course without permission of each instructor.
- Plagiarism, the appropriation of records, research, materials, ideas, or the language of other persons or writers and the submission of them as one's own.
Charges of academic dishonesty will be reviewed by the Program Director. Penalties for students found responsible for violations may depend upon the seriousness and circumstances of the violation, the degree of premeditation involved, and/or the student’s previous record of violations. Appeal of a decision may be made to the Dean whose decision will be final. Student appeals will take place through the grievance process outlined in the student handbook.