Syllabus
Master of Science in Health Informatics
HIN 615 – Advanced Computer Information Technologies for Health Informaticists – Fall B 2022
Credits - 3
Description
The field of health informatics depends on advanced computing systems to collect health data and analytical sophistication to make sense of that data. This course provides students with a solid understanding of the computer science that undergirds the entire field, exploring the design and implementation of database systems and technology applications, data communications, and systems analysis. Students will learn to identify current and emerging information technologies that may have strategic value for enterprise solutions, assess where those technologies may have strategic value, and explore methods for implementing those technologies in their organizations.
Materials
Learning Objectives and Outcomes
Program Outcome addressed by this course:
-
Analyze, evaluate, and apply the range of tools needed to implement new technology, including identifying, evaluating, selecting, implementing, and upgrading technological systems
Course Outcomes:
Upon successful completion of HIN 615, the student will demonstrate the ability to:
- Develop an awareness of publicly available data sources including patient-reported data
- Recognize bias and limitations in large datasets
- Develop an awareness of cyber security concerns and the role of blockchain in healthcare
- Run and interpret elementary statistics
Assignments
Please note that all times in the syllabus and in the course refer to Eastern Time.
Discussion 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. Please be sure to follow the individual directions provided with each Discussion Prompt, as the requirements may vary.
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.
Key Assignments:
PSA Infographic – In week 2, you will use the knowledge gained throughout the week to create a PSA infographic aimed at recruiting underrepresented populations to provide important healthcare-related data.
Performing a risk analysis to protect electronic health records – In week 4, you will create a 10-15 minute presentation about performing a risk analysis to protect electronic health records.
Technology Adoption Presentation – In week 6, you will develop a presentation aimed at pitching a new technology to an organization with minimal absorptive capacity. You will also be asked to provide a concise video recording of your presentation.
Data Interpretation Assignment – In weeks 7&8, you will be interpreting raw data and completing a worksheet related to that data. This will have you performing elementary statistical analyses and drawing conclusions from them.
Shorter Papers – The remaining assignments in the course are shorter papers that ask you to engage with the content covered and contemplate their relation to the current healthcare ecosystem.
All assignments use scoring rubrics to assess student performance. Thoroughly review the rubric and assignment instructions for guidance on what’s required for each assignment.
Grading Policy
Your grade in this course will be determined by the following criteria:
Grade Breakdown
| Assessment Item | Possible Points | Percent of Total Grade |
|---|---|---|
| Discussions (7 at 3 points each, 1 at 1 point) | 22 | 22% |
| Short Written Assignments (3 at 8 points each) | 24 | 24% |
| Week 2 PSA Infographic Assignment | 13 | 13% |
| Week 4 Blockchain in Healthcare Paper | 13 | 13% |
| Week 6 Technology Adoption Presentation | 13 | 13% |
| Weeks 7&8 Data Interpretation Assignment | 15 | 15% |
| Total | 100 | 100% |
Grade Scale
| 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 |
Schedule
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. Please review the following schedule carefully for assignments and due dates.
Course Schedule
- Week 1: Oct 19 – Oct 26
- Week 2: Oct 26 – Nov 2
- Week 3: Nov 2 – Nov 9
- Week 4: Nov 9 – Nov 16
- Week 5: Nov 16 – Nov 23
- Week 6: Nov 23 – Nov 30
- Week 7: Nov 30 – Dec 7
- Week 8: Dec 7 – Dec 11
| Weeks | Topics | Assignments and Due Dates |
|
Week 1 |
Introduction to Data and Data Collection |
Introductory Discussion Week 1 Discussion – Initial post by Sunday, responses by Wednesday Limitations of Data Collection Paper – Wednesday |
|
Week 2 |
Biases in Datasets |
Week 2 Discussion – Initial post by Sunday, responses by Wednesday PSA Infographic Assignment – Wednesday |
|
Week 3 |
Data Governance – Who owns the data? |
Week 3 Discussion – Initial post by Sunday, responses by Wednesday |
|
Week 4 |
Health IT Risk Assessment and Analysis |
Week 4 Discussion – Initial post by Sunday, responses by Wednesday Performing a risk analysis to protect electronic health records Presentation – Wednesday |
|
Week 5 |
Electronic Health Record (EHR) |
Week 5 Discussion – Initial post by Sunday, responses by Wednesday Map data flow in a hospital stay scenario – Wednesday |
|
Week 6 |
Models of Adoption and Readiness |
Week 6 Discussion – Initial post by Sunday, responses by Wednesday Technology Adoption Presentation – Wednesday |
|
Weeks 7&8 |
A Shallow Dive into Data and Statistics |
Weeks 7&8 Discussion – Friday of week 8 Data Interpretation Assignment – by 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 Tutorial: Find an article
- 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.
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 Turnitin Student quick start guide.
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.
Attendance Policy
Online students are required to submit a graded assignment/discussion prior to Sunday evening at 11:59 pm ET of the first week of the term. If a student does not submit a posting to the graded assignment/discussion prior to Sunday evening at 11:59 pm ET, the student will be automatically dropped from the course for non-participation. Review the full attendance policy.
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.
Student Handbook Online - Policies and Procedures
The policies contained within this document apply to all students in the College of Graduate and 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.