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 | Software Engineering Elective Courses |
| Course Level | Ph.D. |
| 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 become familiar with the state-of-the art and the literature in the software engineering research domain | X | ||||
| 2 | An ability to conduct world-class research in software engineering and publish scholarly articles in top conferences and journals in the area | |||||
| 3 | Be able to conduct quantitative and qualitative studies in software engineering | X | ||||
| 4 | Acquire skills needed to bridge software engineering academia and industry and to develop and apply scientific software engineering approaches to solve real-world problems | X | ||||
| 5 | An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain. | X | ||||
| 6 | An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. | X | ||||
| 7 | Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies. | X | ||||
| 8 | An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions. | X | ||||
| 9 | Promote the development, adoption and sustained use of standards of excellence for software engineering practices. | X | ||||
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 | ||