BIOINFORMATICS

LEARNING OUTCOMES

The aim of the course is to acquaint students with Informatics and Technology in Biomedical Sciences and their application in the field of health. In this context, basic concepts of network and internet are presented as well as online bibliographic databases which are widely used for the retrieval of scientific medical knowledge. Reference is made to health information systems, standards for coding and exchanging medical information provided by these systems. The course will teach the writing of scientific papers, oral presentations,
scientific papers as well as the study and critique of scientific texts based on international data.
The course aims at helping students understand the organizational, administrative and financial approach of the provided health services and the role that Biomedical Informatics plays in supporting medical decision making. In addition, it aims at helping them assimilate the most common technical solutions, clinical applications and features related to the safety and management of the medical equipment used (analysts, imaging, robotic systems, etc.) and operating programs in the field of health.

SYLLABUS

The course briefly includes the following sections:

• Basic concepts of network applications in health information systems.
• Medical imaging application systems.
• Health information systems (Medical file, Regional and National databases via the internet).
• Standards and Codifications for the development of electronic health records (HER).
• Medical Laboratory Information Systems (Laboratory Information Systems – LIS, Equipment, Examinations, Biological Sample Systems).
• Picture Archiving and Communication systems-PACS (Device Network Communication, Device Topology), DICOM coding standard (Digital Imaging and Communications in Medicine).
• Invasive Surgery and Medical Robotics (Navigation Trackers, Optical Trackers, Classification Systems).
• Medical decision, Medical devices (Defibrillator, Pacemaker, Abdominal fibrillation, CARPA survival chain).
• Artificial Intelligence, Neural Networks, Fuzzy Logic.
• Familiarity with basic programming principles in Matlab environment (C language) in the field of health.