YBS611

Course Title Course Code Program Level
HEALTH INFORMATION BUSINESS INTELLIGENCE YBS611 Management Information Systems (Doctorate) M.A / M.Sc.

Course Term
(Course Semester)
Teaching and Learning Methods
Credits
Theory Practice Lab Projects/Field Work Seminars/Workshops Other Total Credits ECTS Credits
02
(Spring)		 186 3 10

Teaching Staff
Language of Instruction Türkçe (Turkish)
Type Of Course Elective
Prerequisites
Recommended Optional Programme Component
Course Objectives It provides students with key business intelligence concepts and foundations to enable them to establish best practices through informed decision making. The course discusses the types of decisions taken in health organizations and the contribution of business intelligence applications to the process of making these decisions, and a model proposal is brought to health organizations on the application of business intelligence.
Course Content
Learning Outcomes (LO) It will be able to process a high variety of data from different sources, it will produce results in near-real time (NRT) (minutes-hours) (for example, the detection of a problem throughout Turkey) It will allow a large number of users to analyze data from the data; to ensure that analyzes can be made quickly and easily.
Mode of Delivery Face to face
Course Outline
Week Topics
1. Week Introduction to Business Intelligence in Healthcare
2. Week Business Intelligence and Data Warehouses in Healthcare
3. Week Business Intelligence and Enterprise Resource Planning Systems in Healthcare
4. Week Business Intelligence Models in Health –Basic Reporting
5. Week Business Intelligence Models in Healthcare –OLAP
6. Week Business Intelligence Models in Healthcare –Dashboards
7. Week Advanced Business Intelligence Technologies in Healthcare
8. Week Business Intelligence Strategy in Healthcare
9. Week Business Intelligence in Health Project – Requirements and Planning
10. Week Business Intelligence in Health Project – Data Analysis
11. Week Business Intelligence Project in Health – Data Bank Design
12. Week Business Intelligence in Health Project – Application Development
13. Week Business Intelligence applications in Health – Case Example
14. Week final examination
Assessment
  Percentage(%)
Mid-term (%) 40
Quizes (%)
Homeworks/Term papers (%)
Practice (%)
Labs (%)
Projects/Field Work (%)
Seminars/Workshops (%)
Final (%) 60
Other (%)
Total(%) 100
Course Book (s) and/or References Business Intelligence in Healthcare with IBM Watson Analytics, 2017, 1st Edition by Shilpa Balan (Author), Joseph Otto (Author)
Work Placement(s)
The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO)

 

PQ1

PQ2

PQ3

PQ4

PQ5

PQ6

PQ7

PQ8

PQ9

PQ10

PQ11

PQ12

PQ13

PQ14

LO1

 

5

5

4

 

 

4

4

5

 

4

 

4

 

LO2

 

5

5

3

 

 

3

3

3

 

5

 

5

 

LO3

 

5

 

 

 

 

5

 

 

5

 

 

 

 

* Contribution Level : 1 Very low    2 Low     3 Medium     4 High      5 Very High