Lifelong Learning for a Brighter World

Corra, McMaster University Continuing Education Health Information Management graduate Corra, McMaster University Continuing Education Health Information Management graduate

Health Information Management

Managing information throughout the health care system.

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HTH 108 - Information Analysis & Data Analytics - Winter 2020

Academic Credit Value:
3 units
Course Delivery Mode:
Hours of Study:
39 hours
Course Prerequisite(s):
HTH 101 & HTH 102
Course Anti-requisite(s):
Instructor Name:
Tara Andrinopoulos
Course Dates:
02/24/2020 - 04/26/2020

Required Course Materials:
Calculating and Reporting Healthcare Statistics,
Optional Course Materials:
Course Description:
This course incorporates the analysis of information and the extraction of data within the health information sector.  The course will examine the processes for the selection and presentation of data by health information management professionals based on the needs of various stakeholders.  Learners will apply statistical knowledge and applications to the analysis and reporting of health information.  Finally, the role of the health information professional within research studies, and in support of research, will be discussed. 
Learning Outcomes:
Upon completion of this course, students will have explored:
Relevant sources of demographic, clinical and financial data/evidence across the continuum of care
Information and data integration
Data mining
Graphical and tabular presentation of health care data to facilitate decision making
Business intelligence tools to locate, share, retrieve, analyze and present data and information from multiple sources
Impact analysis
Statistical terminology and proper use of statistics
Descriptive statistical theory for continuous and categorical health care data
Inferential statistical theory to health care data
Correlation and regression analysis of health care data
Representations of statistical analysis results
Research design and methodology
Data collection tools
Course Evaluation
The final grade is calculated based on the following components:
Participation – 10%
Quizzes – 20% (4 quizzes at 5% each)
Data Assignments – 35% (3 assignments)
Final Report – 35%
Course Format:
There are ten content modules for the course - each addressing a specific topic for Information Analysis & Data Analytics Health. The modules contain the instructor’s presentation, required readings, supplemental readings, discussion questions, and other learning activities as selected by the instructor. All learners in the course are expected to read the required readings, discuss key concepts via discussion forum topics, and to bring relevant examples and/or research to the course learning activities. The course will include a blend of individual and group activities; therefore, it is important for students to log in to Avenue to Learn daily to check for updates, discussion board postings, email, etc. 

This is a university level course with an assigned academic credit value equivalent to 3-units of Undergraduate study at McMaster University.  The course activities and assignments are designed to meet the content hours and academic rigor of a 3-unit course.  Students are expected to plan activities and assignment completion accordingly.  Part-time studies at McMaster University relate to the number academic units a student completes within an academic year; it does not mean a lower level of rigor and/or standards associated with an academic course.   
Assignment Submission:
Course assignments are submitted to the appropriate A2L Assignment folder by the specified due date
Late Coursework:

Late submissions will be penalized 10% per day (including weekends and holidays) up to seven (7) days past the due date. After seven days, the Dropbox will close, no further assignments will be accepted, and a grade of “0” will be assigned for the course work item unless otherwise specified by the Instructor.  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
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

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.
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 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 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.
In this course, we will be using a web-based service ( to reveal plagiarism. Students will be expected to submit their work electronically to and in hard copy so that it can be checked for academic dishonesty. Students who do not wish to submit their work to must still submit a copy to the instructor. No penalty will be assigned to a student who does not submit work to 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 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 (
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:

Week 1


Module One:

Introduction to Healthcare Statistics & Patient Census Data



Week 2


Module Two:

Descriptive Healthcare Statistics and Rate Calculations - Part 1



  Week 3  

Module Three:

Descriptive Healthcare Statistics and Rate Calculations - Part 2



  Week 4  

Module Four:

Statistical Representations for Health Information Management



 Week 5

Module Five:

Descriptive Stats & Presentation of Data and Trend Analysis


  Week 6  

Module Six:

Research Principles & Inferential Statistical Analysis


Week 7


Module Seven:

Research Design and Epidemiology



 Week 8

Module Eight:

Decision Support and Utilization Management


 Week 9

Module Nine:

Performance Indicators

 Week 10

Module Ten:

Application of Data, Data Analysis and Quality in a Healthcare Practice Unit