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 | 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 | |
| Supportive Courses | X |
| 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 | Gains the ability to apply advanced computing and/or information knowledge in solving software engineering problems. | X | ||||
| 2 | Develops solutions using different technologies, software architectures and life-cycle approaches. | X | ||||
| 3 | Gains the ability to design, implement, and evaluate a software system, component, process, or program using modern techniques and engineering tools for software engineering practices. | X | ||||
| 4 | Gains ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements. | X | ||||
| 5 | Gains skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects. | X | ||||
| 6 | Gains the ability to access information to follow current developments in science and technology, conducts scientific research in the field of software engineering, and conducts a project. | X | ||||
| 7 | Acquires an understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. | X | ||||
| 8 | Acquires project and risk management skills and gains awareness of the importance of entrepreneurship, innovation, and sustainable development, as well as international standards and methodologies. | X | ||||
| 9 | Understands the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions. | X | ||||
| 10 | Gains awareness of the development, adoption, and ongoing support for the use of excellence standards in 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 | ||