ECTS - Decision Support in Health Informatics
Decision Support in Health Informatics (SE546) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Decision Support in Health Informatics | SE546 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses Taken From Other Departments |
| Course Level | Natural & Applied Sciences Master's Degree |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture. |
| Course Lecturer(s) |
|
| Course Objectives | The objective of this course is to familiarize students with different types of healthcare data, assure the quality of the data and how to understand and communicate the information provided in support to effective decision making by various stakeholders of the healthcare system. |
| Course Learning Outcomes |
The students who succeeded in this course; |
| Course Content | Choosing the correct information for different decisions and communicate its meanings to users; evaluation of statistical and other methods and tools; the difference between research databases and operational databases; techniques to effectively communicate quantitative healthcare data using tables and graphs; methods for choosing the right medium. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to Information Systems Overview of Decision Support System | Reading will be provided |
| 2 | Decision Theory and Decision Making | Reading will be provided |
| 3 | Decision Support in Medical Informatics | Course-Book. Chapter 1 |
| 4 | Decision Analysis | Course-Book. Chapter 2 |
| 5 | Medical Decision Support Requirements and Areas | Course-Book. Chapters 4-5 |
| 6 | Medical Decision Support Requirements and Areas | Course-Book. Chapter 6 |
| 7 | Bioinformatics Problems | Reading will be provided |
| 8 | Bioinformatics Problems | Reading will be provided |
| 9 | Analysis Approaches for Bioinformatics Problems | Reading will be provided |
| 10 | Analysis Approaches for Bioinformatics Problems | Reading will be provided |
| 11 | Visualization | Reading will be provided |
| 12 | Visualization | Reading will be provided |
| 13 | Case Study-1 | Course-Book. Chapters 8 |
| 14 | Case Study-2 | Reading will be provided |
| 15 | General Exams | |
| 16 | General Exams |
Sources
| Course Book | 1. Berner, E.E. (ed.) (2007). Clinical decision support systems: Theory and practice, New York, Springer, Heath Informatics Series. |
|---|---|
| Other Sources | 2. Osteroff, J.A., Pifer, E.A., Teich, J.M., Sitting, D.F., & Jenders, R.A. (2005). Improving outcomes with clinical decision support: an implementer’s guide: Chicago, IL: HIMSS. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | - | - |
| Final Exam/Final Jury | - | - |
| Toplam | 0 | 0 |
| Percentage of Semester Work | |
|---|---|
| Percentage of Final Work | 100 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | X |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | To be able to use mathematics, science and engineering knowledge in solving engineering problems related to information systems. | X | ||||
| 2 | Design and conduct experiments in the field of informatics, analyze and interpret the results of experiments. | X | ||||
| 3 | Designs an information system, component and process according to the specified requirements. | X | ||||
| 4 | Can work effectively in disciplinary and multidisciplinary teams. | X | ||||
| 5 | Identify, formulate and solve engineering problems in the field of informatics. | |||||
| 6 | Acts in accordance with professional ethical rules. | |||||
| 7 | Communicates effectively both orally and in writing. | |||||
| 8 | Gains awareness of the necessity of lifelong learning. | |||||
| 9 | Learn about contemporary issues. | X | ||||
| 10 | To be able to use modern engineering tools, techniques and skills required for engineering practice. | X | ||||
| 11 | Knows project management methods and recognizes international standards. | X | ||||
| 12 | Develop informatics-related engineering products and prototypes for real-life problems. | X | ||||
| 13 | Contributes to professional knowledge. | |||||
| 14 | Can do methodological scientific research. | |||||
| 15 | Produce, report and present a scientific work based on an original or existing body of knowledge. | |||||
| 16 | Can defend the original idea generated. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 1 | 16 |
| Presentation/Seminar Prepration | |||
| Project | 1 | 6 | 6 |
| Report | |||
| Homework Assignments | 3 | 5 | 15 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 10 | 10 |
| Prepration of Final Exams/Final Jury | 1 | 30 | 30 |
| Total Workload | 125 | ||