Medical Informatics II

Course Information
TitleΙΑΤΡΙΚΗ ΠΛΗΡΟΦΟΡΙΚΗ ΙΙ / Medical Informatics II
CodeΙΑ0277
FacultyHealth Sciences
SchoolMedicine
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorAnthony Aletras
CommonNo
StatusInactive
Course ID200000275
Class Information
Academic Year2018 – 2019
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours2
Class ID
600128523
SectionInstructors
1. ΕΡΓΑΣΤΗΡΙΟ ΙΑΤΡΙΚΗΣ ΠΛΗΡΟΦΟΡΙΚΗΣ
2. ΕΡΓΑΣΤΗΡΙΟ ΙΑΤΡΙΚΗΣ ΠΛΗΡΟΦΟΡΙΚΗΣ&ΒΙΟΪΑΤΡΙΚΗΣ-ΑΠΕΙΚ
Course Type 2016-2020
  • Scientific Area
  • Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Prerequisites
Required Courses
  • ΙΑ0276 Medical Informatics I
Learning Outcomes
The aim of this course is to offer to students the necessary knowledge elements as regards the use of information systems in medicine and healthcare delivery, that may be useful in practice. The course emphasises on telemedicine, electronic health records, medical decision making, and healthcare services at different levels. Finally, special directions of interest in Medical Informatics Research are presented. At the end of the course, students will be able to: • Understand the basic concepts related to the modern healthcare system structure and function • Understand the necessary concepts of health telematics • Describe the logic of medical procedures implemented in modern medical information systems • Realise the importance of electronic health record and the issues that raise around its implementation and use • Realise the important of medical information management via telematics and decision support methods and systems • Make use of new technologies in their education • Understand the content and importance of medical informatics research
General Competences
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an interdisciplinary team
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
# topic 1 class Introduction, Basic concepts, electronic health record and standards 2 class Medical datanabes and electronic health record 3 lab example medical record 4 lab example medical data collection - questionnaires 5 class Human machine interaction , design and evaluation of user interfaces 6 lab examples of interfaces in everyday applications 7 class Telemedicine and healthcare delivery 8 lab Home monitoring and biosensors 9 class Biomedical signals 10 lab example of biomedical signal analysis in matlab 11 class Biomedical image 12 lab example of biomedical image analysis in matlab 13 class Decision support systems in medicine 14 student projects presentation and discussion
Educational Material Types
  • Slide presentations
  • 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
Due to the nature of the course, IT is widely used at all levels.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures160.6✓✓
Laboratory Work100.4✓✓
Project80.3✓✓
Exams180.7✓✓
Total522
Student Assessment
Description
The course grade is calculated taking into account --- the final exams score (70%) --- the sum of lab evaluations (30%) Participation in more than half of the labs is required within the semester the lesson is taken (labs score not kept for future course grade). Students may work on projects agreed with the tutors, to increase their final score.
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Assignment (Summative)
  • Oral Exams (Formative)
  • Performance / Staging (Formative)
  • Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
• Ν. Καρανικόλας: Πληροφορική και επαγγέλματα υγείας. Εκδόσεις Νέων Τεχνολογιών, 2010, ISBN 978-960-6759-57-4 • Παντελής Αγγελίδης, Τηλεϊατρική, Έξυπνες Κάρτες, Ηλεκτρονικές Υπηρεσίες Υγείας, Ηλεκτρονικός Φάκελος Υγείας, σοφία A.E., 2011, ISBN 978-960-6706-43-1, • Handbook of Medical Informatics, JH van Bemmel and M. Musen, Edts, Springer, 1997. • Artificial Intelligence in Medicine, S. Andreassen et al (Edts), Health Technology and Informatics, vol. 10, IOS Press, 1993. • Medical Informatics: Computer Applications in Health Care and Biomedicine / by Edward H. Shortliffe (Editor), Lawrence M. Fagan, Gio Wiederhold, Leslie E., Perreault. Publisher: Springer Verlag; 2nd edition (November 2000). • Information Technology for the health professionals, L Burke, B. Weill, Prentice Hall, 2000.
Additional bibliography for study
• Ν. Καρανικόλας: Πληροφορική και επαγγέλματα υγείας. Εκδόσεις Νέων Τεχνολογιών, 2010, ISBN 978-960-6759-57-4 • Παντελής Αγγελίδης, Τηλεϊατρική, Έξυπνες Κάρτες, Ηλεκτρονικές Υπηρεσίες Υγείας, Ηλεκτρονικός Φάκελος Υγείας, σοφία A.E., 2011, ISBN 978-960-6706-43-1, • Handbook of Medical Informatics, JH van Bemmel and M. Musen, Edts, Springer, 1997. • Artificial Intelligence in Medicine, S. Andreassen et al (Edts), Health Technology and Informatics, vol. 10, IOS Press, 1993. • Medical Informatics: Computer Applications in Health Care and Biomedicine / by Edward H. Shortliffe (Editor), Lawrence M. Fagan, Gio Wiederhold, Leslie E., Perreault. Publisher: Springer Verlag; 2nd edition (November 2000). • Information Technology for the health professionals, L Burke, B. Weill, Prentice Hall, 2000.
Last Update
23-05-2019