Information Package

Ph.D. on Biomedical Engineering

BME611

INTRODUCTION TO MEDICAL INFORMATICS

Course Code
BME611
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelDoctorate Of Science
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. To learn and understand data records and biosignal analysis
  2. To gain an understanding of Ethics in Biomedical and Health Informatics
  3. To acquire knowledge of biomedical imaging informatics
  4. To learn health informatics and decision support systems
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme Components
Course DescriptionThis course presents an overview of the history and current research priorities of the medical informatics field. Major course topic areas are the implementation of electronic health records in patient care settings and their use to help manage the health of large patient populations including the acquisition, storage, use and representation of medical data; data interchange standards; health information retrieval and knowledge management methods; patient information portals and personal health records; people and organizational issues; medical reasoning and probabilistic decision support methods; evidence-based medicine and guidelines and patient population data management.
Course Contents
WEEK TOPICS
1st Week Introdcuction
2nd Week Data from Patients
3rd Week Electronic Medical Records
4th Week Biosignal Analysis
5th Week Clinical Departmental systems
6th Week Standarts in Biomedical Informatics
7th Week Management of Information in Healthcare Organizations
8th Week Clinical Decision-Support systems
9th Week Medical Decision Support systems
10th Week Public Health Informatics
11th Week Ethics in Biomedical and Health Informatics
12th Week Telehealth
13th Week Biomedical Imaging Informatics
14th Week The Future of Informatics in Biomedicine
Recommended or Required ReadingShortliffe EH & Cimino JJ, eds. Biomedical Informatics: Computer Applications in Health Care and Biomedicine, 3rd ed. New York, Springer
Journal articles and recent patents.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 35
Assignment 1 20
Total(%) 55
Contribution of In-term Studies to Overall Grade(%) 55
Contribution of Final Examination to Overall Grade(%) 45
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 72 72
Preparation for Quiz 0 0 0
Individual or group work 2 3 6
Preparation for Final exam 1 24 24
Course hours 14 3 42
Preparation for Midterm exam 1 24 24
Laboratory (including preparation) 0 0 0
Final exam 1 96 96
Homework 1 24 24
Total Work Load288
Total Work Load / 30 (h)9.6
ECTS Credit of the Course10
Language of InstructionEnglish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1 X X X X
K2 X
K3
K4
K5
K6
K7
K8 X