| MATHEMATICS (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| BME4432 | Clinical Decision Support Systems | Fall | 2 | 2 | 3 | 6 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi BURCU TUNÇ ÇAMLIBEL |
| Course Objectives: | This course provides an overview of the background and state-of-the-art of Clinical Decision Support Systems (CDSS).Topics include: the design principles behind clinical decision support systems, mathematical foundations of the knowledge-based systems and pattern recognition systems, clinical vocabularies, legal and ethical issues, patient-centered clinical decision support systems, and the applications of clinical decision support systems in clinical practice. |
|
The students who have succeeded in this course; 1. Recognize the value and importance of information management and use in the delivery of quality healthcare 2. Describe the characteristics and properties of decision support systems 3. Explain the structure, functions and components of clinical decision support systems 4. Explain the methodology and techniques of computer-based clinical decision making 5. Apply appropriate methodology and models to effective health information management |
| Types of clinical decision support systems (CDSS). Impact and effectiveness of CDSS. Design and implementation of CDSS. Challenges of clinical data representation and information retrieval techniques. Examples of CDSS in current use. Evaluation of CDSS in contrast with the current implementation. |
| Week | Subject | Related Preparation | |
| 1) | Wk.1 Overview of Clinical Decision Support Systems | ||
| 2) | Wk. 2 Mathematical Foundations of Decision Support | ||
| 3) | Wk. 3 Data Mining and Clinical Decision Support Systems | ||
| 4) | Wk. 4 Design and Implementation Issues | ||
| 5) | Wk. 5 Diagnostic Decision Support Systems | ||
| 6) | Wk. 6 Ethical and Legal Issues in Decision Support | ||
| 7) | Wk. 7 Clinical Trials of Information Interventions | ||
| 8) | Wk. 8 Midterm Examination. Discussion and solutions of the questions. | ||
| 9) | Wk. 9 Generation of Knowledge for Clinical Decision Support: Statistical and Machine Learning Techniques | ||
| 10) | Wk. 10 Evidence-based Medicine and Meta-Analysis: Getting More out of the Literature | ||
| 11) | Wk. 11 Representing the Knowledge: Standardization Efforts | ||
| 12) | Wk. 12 Case Studies in Clinical Decision Support - I | ||
| 13) | Wk. 13 Case Studies in Clinical Decision Support - II | ||
| 14) | Wk. 14 Evaluation of Term Projects | ||
| Course Notes: | J. Dyro, Clinical Engineering Handbook, 2004 |
| References: | A.F.G. Taktak, P. Ganney, D. Long, P. White, Clinical Engineering: A Handbook for Clinical and Biomedical Engineers Hardcover, 2014 |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 0 | % 0 |
| Laboratory | 6 | % 15 |
| Application | 0 | % 0 |
| Field Work | 0 | % 0 |
| Special Course Internship (Work Placement) | 0 | % 0 |
| Quizzes | 0 | % 0 |
| Homework Assignments | 1 | % 5 |
| Presentation | 0 | % 0 |
| Project | 1 | % 20 |
| Seminar | 0 | % 0 |
| Midterms | 1 | % 20 |
| Preliminary Jury | 0 | % 0 |
| Final | 1 | % 40 |
| Paper Submission | 0 | % 0 |
| Jury | 0 | % 0 |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Laboratory | 6 | 2 | 12 |
| Application | 0 | 0 | 0 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 17 | 4 | 68 |
| Presentations / Seminar | 0 | 0 | 0 |
| Project | 5 | 2 | 10 |
| Homework Assignments | 4 | 1 | 4 |
| Quizzes | 0 | 0 | 0 |
| Preliminary Jury | 0 | ||
| Midterms | 1 | 3 | 3 |
| Paper Submission | 0 | ||
| Jury | 0 | ||
| Final | 1 | 3 | 3 |
| Total Workload | 142 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |