Lifelong Learning for a Brighter World

Fizza Malik, McMaster University Continuing Education Health Informatics graduate Fizza Malik, McMaster University Continuing Education Health Informatics graduate

Health Informatics

Where health and information
technology intersect.

Learn more today!

HTH 110 - Health Information Systems and Data Analysis- Spring 2020

Academic Credit Value:
3 units
Course Delivery Mode:
Online
Hours of Study:
36 hours
Course Prerequisite(s):
HTH 120 Foundations of Health Informatics + HTH 121 Health Data Standards + HTH 105 Health Information Systems & Technology
Course Anti-requisite(s):
n/a
Instructor Name:
Vidhi Thakkar
Course Dates:
05/11/2020 - 07/12/2020



Required Course Materials:
Course materisl are posted in A2L course shell
Optional Course Materials:
Course Description:
This course will focus on the study of health data retrieval, analysis and presentation. Learners will critically examine the role of a health informatics professional to develop, maintain and retrieve critical data from information systems commonly found in health care. Issues of the presentation of data, quality assurance and research role be explored as the Health Informatics professional contributes to and aids in the facilitation of the decision making processes.
Learning Outcomes:
• Define basic terminology and processes of data informatics and systems development
• Present data in context for varying audience interest and principles for improving knowledge translation.
• Demonstrate techniques for data analysis
• Apply effective communicate strategies and processes in multiple formats
• Exhibit professional and ethical practices and principles associated with the university and the health informatics professional
Course Evaluation
The final grade is calculated based on the following components:
Discussions – 10%
Assignment One – 20%
Assignment Two – 20%
Assignment Three – 40%
Practice Activities – 10%

Course Format:
This course is designed to present the fundamental concepts and theories in health informatics and data analysis, and promote the application to the workplace and professional practice. Course activities will include instructor presentations, required readings and experiential learning activities (i.e. case studies, group discussions, projects, etc.). There will also be Live online teaching sessions, which are highly recommended for students to attend, ask questions, and actively participate in their learning.

Assignment Submission:
Course assignments are submitted to the appropriate A2L Assignment folder by the specified due date
Late Coursework:
Late assignments will be subject to a 2% per day late penalty (includes weekends and holidays) for up to seven (7) days. After this date, no assignments will be accepted and a grade of zero (0) will be applied.  Extensions for course work must be approved by the instructor before the due date (see Academic Regulations below), and will be granted for illness or emergencies only. Students may be asked to submit supporting documentation for an extension request. 

Policy & Procedures:

Academic Regulations (Attendance, Coursework, Tests/Exams):
In accordance to McMaster University’s General Academic Regulations, “it is imperative that students make every effort to meet the originally scheduled course requirements and it is a student’s responsibility to write examinations as scheduled.” Therefore, all students are expected to attend and complete the specific course requirements (i.e. attendance, assignments, and tests/exams) listed in the course outline on or by the date specified. Students who need to arrange for coursework accommodation, as a result of medical, personal or family reasons, must contact the course instructor within 48 hours of the originally scheduled due date. It is the student’s responsibility to contact the Program Manager to discuss accommodations and procedures related to deferred tests and/or examinations within 48 hours of the originally scheduled test/exam, as per policy. Failure to contact the course instructor, in the case of missed coursework, or the Program Manager, in the case of a missed test/examination, within the specified 48-hour window will result in a grade of zero (0) on the coursework/exam and no further consideration will be granted.
*Note: Supporting documentation will be required but will not ensure approval of accommodation(s).

Academic Integrity

You are expected to exhibit honesty and use ethical behaviour in all aspects of the learning process. Academic credentials you earn are rooted in principles of honesty and academic integrity. Academic dishonesty is to knowingly act or fail to act in a way that results or could result in unearned academic credit or advantage. This behaviour can result in serious consequences, e.g. the grade of zero on an assignment, loss of credit with a notation on the transcript (notation reads: “Grade of F assigned for academic dishonesty”), and/or suspension or expulsion from the university.

It is your responsibility to understand what constitutes academic dishonesty. For information on the various types of academic dishonesty please refer to the Academic Integrity Policy, located at http://www.mcmaster.ca/academicintegrity/

The following illustrates only three forms of academic dishonesty:

  1. Plagiarism, e.g. the submission of work that is not one’s own or for which another credit has been obtained.
  2. Improper collaboration in-group work.
  3. Copying or using unauthorized aids in tests and examinations.
Academic Accommodations:
Students with disabilities who require academic accommodations must contact the Student Accessibility Centre (SAS) to meet with an appropriate Disability Services Coordinator. To contact SAS, phone 905-525-9140 ext. 28652, or email sas@mcmaster.ca. For further information, consult McMaster University’s Policy for Academic Accommodation for Students with Disabilities.
On-line Elements:
In this course, we will be using on-line elements, which may include email, Avenue to Learn, WebEx, and external websites.  Students should be aware that, when they access the electronic components of this course, private information such as first and last names, usernames for the McMaster e-mail accounts, and program affiliation may become apparent to all other students in the same course. The available information is dependent on the technology used. Continuation in this course will be deemed consent to this disclosure. If you have any questions or concerns about such disclosure, please discuss this with the course instructor.
Turnitin.com:
In this course, we will be using a web-based service (Turnitin.com) to reveal plagiarism. Students will be expected to submit their work electronically to Turnitin.com and in hard copy so that it can be checked for academic dishonesty. Students who do not wish to submit their work to Turnitin.com must still submit a copy to the instructor. No penalty will be assigned to a student who does not submit work to Turnitin.com. All submitted work is subject to normal verification that standards of academic integrity have been upheld (e.g., on-line search, etc.). To see the Turnitin.com Policy, please go to McMaster Academic Integrity Policy.
Course Changes:
The instructor reserves the right to modify elements of the course and will notify students accordingly.
Course Withdrawal Policy:
Policies related to dropping a course and course withdrawals are posted to the Centre for Continuing Education’s program web page, FAQs & Policies (https://www.mcmastercce.ca/cce-policies#Dropping).
Grading Scale:

 

Grade

Equivalent Grade Point

Equivalent Percentages

A+

12

90-100

A

11

85-89

A-

10

80-84

B+

9

77-79

B

8

73-76

B-

7

70-72

C+

6

67-69

C

5

63-66

C-

4

60-62

D+

3

57-59

D

2

53-56

D-

1

50-52

F

0

0-49

Course Schedule:
Module Title/Week Course Activities
Module One: Follow the Money to Understand Context Welcome Discussion Forum (non-graded)
Follow the Money Activity (non-graded)
Module Two: Data Sources & Data Organizations Practice Activity (Graded)
Discussion Post (Graded)
Live Chat:
Module Three: Data Life Cycle Discussion Post (Graded)
Assignment One (Graded)
Module Four: Data Quality Discussion Post (Graded)
Live Chat:
Modules Five & Six: Practical Applications of Data Discussion Posts (Graded)
Practice Activities (Graded)
Live Chat:
Module Seven: Data Visualization Assignment Two Due
Practice Activities (Graded)
Live Chat:
Module Eight: Data Decision Support Discussion Post (Graded)
Practice Activity (Graded)
Live Chat:
Module Nine: The Future of Health Data & Patient Care Assignment Three Due
Live Chat: