TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Learn medical information flow 2) Learn medical business processes 3) Learn standards associated with medical information systems 4) Learn ethics, privacy and security issues in medical informatics.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Patient data. Electronic medical records. Coding standards. Clinical information systems. Hospital management informations systems. Medical decision support systems. Medical imaging technologies. Telemedicine. Ethics, privacy and security issues in medical informatics. Introduction to data mining for medical informatics
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction to medical informatics 2nd Week Patient data, Electronic medical records 3rd Week Bioinforamtics 4th Week Clinical information systems, Hospital management informations systems. 5th Week Medical decision support systems 6th Week Medical imaging technologies, Telemedicine 7th Week Ethics, privacy and security issues in medical informatics 8th Week Mid-term 9th Week Introduction to data mining for medical informatics 10th Week Machine learning for medical informatics 11th Week Machine learning for medical informatics 12th Week Machine learning for medical informatics 13th Week Machine learning for medical informatics 14th Week Current trends in medical informatics
RECOMENDED OR REQUIRED READING	1.Handbook of Medical Informatics, 1997, 1.ed., Bemmen, Musel and Musel 2.Health Informatics: Practical Guide, Seventh Edition, William R. Hersh and Robert E. Hoyt 3.Biomedical Informatics : Computer Applications in Health Care and Biomedicine, 4th Edition, Edward H. Shortliffe, James J. Cimino. 4.Machine Learning for Healthcare Applications, 1st Edition, Sachi Nandan Mohanty, G. Nalinipriya, Om Prakash Jena, Achyuth Sarkar
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Experiment,Problem Solving,Practice,Project,Report Preparation,Presentation
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 4 15 Project 1 15 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 1,5 1,5 Preparation for Quiz Individual or group work Preparation for Final exam 1 20 20 Course hours 14 3 42 Preparation for Midterm exam 1 15 15 Laboratory (including preparation) Final exam 1 1,5 1,5 Homework Project 1 70 70 Quiz 4 ,5 2 Total Workload 152 Total Workload / 30 5,06 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No