Lifelong Learning for a Brighter World

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Health and Social Service

Skill Development

The skills you need to make a difference.

HTH 110 - Health Information Systems & Data Analysis- Spring 2019

Academic Credit Value:
3 units
Course Delivery Mode:
Online
Hours of Study:
36 hours
Course Prerequisite(s):
HTH 101, HTH 105
Course Anti-requisite(s):
n/a
Instructor Name:
Vidhi Thakkar
Course Dates:
05/13/2019 - 07/14/2019



Required Course Materials:
Materials will be posted in Avenue to Learn
Optional Course Materials:
n/a
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 process.
Learning Outcomes:
Upon completion of this course, students will:
1. Define basic terminology and processes of data informatics and systems development
2. Present data in context for varying audience interest and principles for improving knowledge translation.
3. Demonstrate techniques for data analysis
4. Apply effective communicate strategies and processes in multiple formats
5. 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 – 30%
Assignment Three – 30%
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.).
Assignment Submission:
Course assignments are submitted to the appropriate A2L Assignment folder by the specified due date
Late Coursework:
Late submissions will be penalized 2% per day (including weekends and holidays) up to seven (7) days past the due date. After seven days, the Assignment folder will close, no further assignments will be accepted, and a grade of “0” will be assigned for the course work item. No late papers will be accepted for assignments due by the last official date of the course.  Requests for extensions must be submitted to the Instructor before the assignment due date (see Coursework Policies).  Extensions are permitted for exceptional circumstances only; supporting documentation may be requested.  

Requests for late submissions due to technological issues will be considered only with supporting documentation from the Avenue to Learn technical support team.  This information must be provided by the student.

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 hoursof 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 thecase 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
Academic Accommodations:
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:
Plagiarism, e.g. the submission of work that is not one’s own or for which other credit has been obtained.
Improper collaboration in-group work.
Copying or using unauthorized aids in tests and examinations.
On-line Elements:
In this course, we will be using on-line elements, which may include email, Avenue to Learn, WebEX, and external web sites.  Students should be aware that, when they access the electronic components of this course, private information such as first and last names, user names 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 webpage, 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: May 14 – 20

Follow the Money to Understand Context

Welcome Discussion Forum (non-graded)

Follow the Money Activity (non-graded)

Module Two: May 21 – 27

Data Sources & Data Organizations

Practice Activity (Graded)

Discussion Post (Graded)

Module Three: May 28 – June 3

Data Life Cycle

Discussion Post (Graded)

Assignment One (Graded)

Module Four: June 4 – June 10

Data Quality

Discussion Post (Graded)

Modules Five & Six: June 11 – 24

Practical Applications of Data

Discussion Posts (Graded)

Practice Activities (Graded)

Module Seven: June 25 – July 1

Data Visualization

Assignment Two Due

Practice Activities (Graded)

Module Eight: July 2 – July 8

Data Decision Support

Discussion Post (Graded)

Practice Activity (Graded)

Module Nine: July 9 – 15

The Future of Health Data & Patient Care

Assignment Three Due