Medical Informatics

Course Information
TitleΙατρική Πληροφορική / Medical Informatics
CodeΙΑ1008
FacultyHealth Sciences
SchoolMedicine
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorAnthony Aletras
CommonNo
StatusActive
Course ID600017857

Programme of Study: UPS of School of Medicine (2019-today)

Registered students: 374
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course212
Class Information
Academic Year2021 – 2022
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Class ID
600188109
SectionInstructors
1. Εργ. Η/Υ, Ιατρ.Πληροφορικής & Βιοϊατρικής_Απεικονι
Course Type 2016-2020
  • Background
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
  • Distance learning
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Learning Outcomes
Purpose: The use of technology and Computer Information Sciences is a prerequisite skill in medical education, patient care and medical research. This Medical Informatics course aims to familiarize students with the use of computers, telecommunications and the internet for data mining of medical data from knowledge, data and medical information databases that are accessible through the World Wide Web. This course also incorporates elements for applications of computer information systems used nowadays for medical knowledge transport, medical data management, usage of patient electronic health records for decision patient management support. Expected results: Upon completion of the course students will be able to learn to familiarize themselves with the use of computer systems for educational kai medical practice needs. They will also learn relevant terminology and the importance of computer networking. They will also be introduced to the concepts of different medical data types and medical images as well as the content and importance of biomedical data and data processing. Students will learn to describe in terms of algorithms and logical steps medical processes and problems. They will learn to seek valid and up-to-date medical information on the internet and through specialized medical knowledge databases. Students will learn to appreciate the importance of the patient electronic health record and its uses. Students will understand the role and importance of medical information flow and management in medical health information systems and telemedicine systems. Last, they will learn to dynamically use new technologies during their education.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work in an interdisciplinary team
Course Content (Syllabus)
Introduction to Medical informatics Medical data in Computer Information Systems and Laboratory exercises on visualizing data with medical content Binary logic and algorithms as well as laboratory with medical content applications Medical knowledge and internet including a laboratory on seeking Medical Data and visualizing in Office. Introduction in biomedical signal analysis/algorithms and Matlab. Laboratory exercise on applications of medical multimedia data processing I (Matlab) Introduction in biomedical imaging and Matlab. Laboratory exercise on applications of medical multimedia data processing II (Matlab) Patient electronic health record, medical information systems – interoperability – patterns, Telemedicine and laboratory exercise on applications of electronic health record (OpenMRS)
Educational Material Types
  • Notes
  • Slide presentations
  • Video lectures
  • Multimedia
  • Interactive excersises
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Description
elearning.auth.gr : educational materials available to students along with exercises Teaching with electronic presentations (slides, video, etc.) Laboratoris on computer systems, communication via elearning.aut.gr and emails,… Final test grading assisted by electronic means
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures240.9✓
Laboratory Work120.4✓
Exams200.7✓
Total562
Student Assessment
Description
Laboratory exams 20% Final written exam 80%
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
Venot Alain, Burgun Anita, Quantin Catherin, Η Πληροφορική στην Ιατρική-eHealth-Βασικές Αρχές και Εφαρμογές, 1/2019, BROKEN HILL PUBLISHERS LTD Cimino J., Shortlife, 2013. Βιοπληροφορική-Εφαρμογές Υπολογιστών στη Φροντίδα Υγείας και τη Βιοϊατρική, BROKEN HILL PUBLISHERS LTD
Additional bibliography for study
1 Τσιπούρας, Μ., Γιαννακέας, Ν., Καρβούνης, Ε., Τζάλλας, Α., 2015. Ιατρική πληροφορική. [ηλεκτρ. βιβλ.] Αθήνα:Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών.(μέρος Α) URI: http://hdl.handle.net/11419/2975 ISBN: 978-960-603-231-8 ID Ευδόξου: 320163 2 Αγγελίδης, Π., 2015. Ηλεκτρονική Υγεία. [ηλεκτρ. βιβλ.] Αθήνα:Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. URI: http://hdl.handle.net/11419/5994 ISBN: 978-960-603-497-8 ID Ευδόξου: 59303593 3 Σπυρόπουλος, Β., 2015. Το σύγχρονο νοσοκομείο. [ηλεκτρ. βιβλ.] Αθήνα:Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. URI: http://hdl.handle.net/11419/3035 ISBN: 978-960-603-137-3 ID Ευδόξου: 320215 4 Κουμπούρος, Ι., 2015. Οι Τεχνολογίες Πληροφορίας και Επικοινωνιών στην υγεία. [ηλεκτρ. βιβλ.] Αθήνα:Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. URI: http://hdl.handle.net/11419/286 ISBN: 978-960-603-092-5 ID Ευδόξου: 320017
Last Update
05-04-2022