TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Doctorate Of Science
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	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 DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION	This 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
RECOMENDED OR REQUIRED READING	Shortliffe 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 WORKLOAD	Activities Number Hours Workload 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 Workload 288 Total Workload / 30 9,6 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No