Tsougos Ioannis, Koutsiaris Aristotelis, Karpetas Georgios, Kylindris Thomas
ECTS:
2.00
COURSE TYPE
EL | BACKGROUND
TEACHING SEMESTER
SPRING SEMESTER
WEEKLY TEACHING HOURS:
2 HOURS
Total Time (Teaching Hours + Student Workload)
54 HOURS
PREREQUIRED COURSES:
NO
LANGUAGE OF TEACHING AND EXAMS
ENGLISH
AVAILABLE TO ERASMUS STUDENTS
YES
SEMESTER LECTURES:
DETAILS/LECTURES
TEACHING AND LEARNING METHODS :
Lectures in the amphitheater, education and practice in the laboratory.
MANADATORY ATTEDANCES ONLY TO LABORATORY EXERCISES
Use of personal workstations (PCs) per person.
Communication with students through the educational platform e – class for the information of the students, the projection and distribution of the slides of the lectures, the provision of educational material the assignment and the reception of assignments to the students.
STUDENT EVALUATION
Short answer questions,
Public presentation of work,
Problem solving.
Objective Objectives/Desired Results:
The course deepens in the use of ICT and their applications in the medical field.
The course aims to understand the methods and schemes of data storage and information in the biomedical sciences. It also refers to the need to adopt standards for the representation and transmission of data and medical information as well as their presentation. The concept of the interaction of this cognitive grid with humans is introduced with the use of natural language but also with machines (PC).
Finally, the aim of the course is the understanding by students of the available possibilities provided by information and communication technology in the creation, storage, dissemination and use of structured medical knowledge as well as in the demonstration of these possibilities in the facilitation of medical work.
Upon successful completion of the course the student will be able to:
Knows how to compile a patient’s electronic medical record.
Understands the need to use standards to describe diagnostic, therapeutic actions and anatomical information.
Understands potential security risks arising from the collection of medical data in information systems.
Has knowledge of the different diagnostic and identification codings used.
Has knowledge of the need and operation of medical databases.
Understands the concept of modeling clinical work.
• Uses databases and knowledge to retrieve medical information and data.
General Abilities
Search, analysis and synthesis of data and information, using the necessary technologies
Decision making
Autonomous work
Teamwork
Promoting free, creative and inductive thinking
Course URL :
http://eclass.uth.gr/eclass/courses/SEYA1 12 /
Course Description:
Health Management Information Systems (HIS).
Electronic patient record management (EHR) systems.
Security of medical data during storage and transmission. The need for encryption.
Standardization organizations. Operating standards and data encoding. ISO/CEN 13606, HL7, SNOMED CT, MeSH, UMLS, LOINC, ICD-9/10, DICOM, RadLex.
Structure and principles of operation of databases.
Modeling of clinical practices.
Terms, terminology, vocabulary and nomenclature.
Implementation of EHR systems with the help of databases (applications in medical data management).
Epidemiological information – optimization – error detection optimization of health services provided.
From data to knowledge – Cognitive science and Cognitive bases.
Instructions Guidelines and decision making.
Technology and architecture of health information systems.
Multiple evaluation of integrated information systems.
Search for medical information in sources (databases, – knowledge). Systematic review and meta- analysis. Introduction to evidence-based medicine.
Recommended reading:
-Proposed Bibliography:
Alan Evans , Kendall Martin , Mary Anne Poatsy “Introduction to Informatics” Theory and Practice, Critique Publications 2014.
Ed . Shortlife, Cimino J. Bioinformatics Computer applications in healthcare and biomedicine . Broken Hill Publishers 2013.