Advanced topics in health informatics leverages the concepts introduced in the Foundation course. Students will be exposed to advanced statistics, vast and diverse data sets, and data interpretation and visualization. This course will prepare students for a deeper dive into forecasting, trends, and data modelling.
After successfully completing this course, students will be able to
Please note that all times in the syllabus and in Blackboard refer to Eastern Time. The discussion board and assignment links for each week will open at the start of the week for submissions.
Each week there will be a discussion board that addresses a topic within the current module. 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 weekly discussion question for submission guidelines. Please be sure to follow the individual directions provided with each Discussion Board Prompt, as the requirements may vary from Discussion Board to Discussion Board.
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.
Student projects will include advanced methods to load, analyze, interpret and predict variables included in a dataset. Tasks within projects include:
Your grade in this course will be determined by the following criteria:
Assignment | Points |
---|---|
Discussions (5 points each, nine discussions) | 45 |
Week 1 Assignment | 7 |
Week 2 Assignment | 9 |
Week 3 Assignment | 9 |
Week 4 Assignment | 5 |
Week 5 Assignment | 9 |
Week 6 Assignment | 7 |
Week 7 Assignment | 9 |
Total | 100 |
Grade | Points Grade | Point Average (GPA) |
A | 94 – 100% | 4.00 |
A- | 90 – 93% | 3.75 |
B+ | 87 – 89% | 3.50 |
B | 84 – 86% | 3.00 |
B- | 80 – 83% | 2.75 |
C+ | 77 – 79% | 2.50 |
C | 74 – 76% | 2.00 |
C- | 70 – 73% | 1.75 |
D | 64 – 69% | 1.00 |
F | 00 – 63% | 0.00 |
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.
Learning Modules | Topics | Assignments and Due Dates |
Week 1: Mar 3 – Mar 10 | Exploratory data analysis and visualization for medicare severity diagnosis related group |
Discussion – Initial post by Sunday, responses by Wednesday Week 1 Assignment – Wednesday |
Week 2: Mar 10 – Mar 17 | Exploratory data analysis and visualization for medicare severity diagnosis related group (continued) |
Discussion – Initial post by Sunday, responses by Wednesday Week 2 Assignment – Wednesday |
Week 3: Mar 17 – Mar 14 | Understanding comparative effectiveness research |
Discussion – Initial post by Sunday, responses by Wednesday Week 3 Assignment – Wednesday |
Week 4 Mar 24 – Mar 31 |
Managing unstructured data in healthcare settings |
Introductory Discussion Week 4 Assignment – Wednesday |
Week 5: Mar 31 – Apr 7 | COVID-19: Evaluating cases and mortality rates |
Two Discussions – Initial posts by Sunday, responses by Wednesday Week 5 Assignment – Wednesday |
Week 6: Apr 7 – Apr 14 | Using data mining techniques to predict healthcare-associated infections (Part 1) |
Discussion – Initial post by Sunday, responses by Wednesday Week 6 Assignment – Wednesday |
Week 7: Apr 14 – Apr 21 | Using data mining techniques to predict healthcare-associated infections (Part 2) |
Discussion – Initial post by Sunday, responses by Wednesday Week 7 Assignment – Wednesday |
Week 8: Apr 21 – Apr 25 | The future of Artificial Intelligence in healthcare |
Discussion – Initial post by Friday, responses by Sunday |
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
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:
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.
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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.
The College of Professional Studies supports its online students and alumni in their career journey!
The Career Ready Program provides tools and resources to help students explore and hone in on their career goals, search for jobs, create and improve professional documents, build professional network, learn interview skills, grow as a professional, and more. Come back often, at any time, as you move through your journey from career readiness as a student to career growth, satisfaction, and success as alumni.
Please review the technical requirements for UNE Online Graduate Programs: Technical Requirements
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.
ITS Contact: Toll Free Help Desk 24 hours/7 days per week at 1-877-518-4673
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.
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.
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.
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.
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.
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:
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.