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Evaluation and adaptive training of staff in medical diagnostics domain

Programmee:Young Researchers
Code:10.819.08.03A
Execution period:2010 – 2011
Institutions:Institute of Mathematics and Computer Science
Project Leader:Burlaca Oleg
Participants: Popcova Olga, Petic Mircea, Verlan Daniel, Cojuhari (Bruc) Natalia, Lotutovici Serghei

Summary

The project includes development of methods for evaluation and adaptive training of staff in medical diagnostics domain, which then can be integrated into a computer-aided system (SETA). This system is destined for support the process of evaluation of medical staff in order to find weak points in their knowledge, abilities and professional skills, and to organize an adaptive training.

The project aims to achieve clear objectives both in medicine and in computer science. The general objective of this project can be divided into two types.

The general objective for medicine is to determine the main professional knowledge and decision-making rules, which participate in skills evaluation of a diagnostician.

The general objective for computer science is to acquire professional knowledge, which can be used for an accurate evaluation of individual skills in medical diagnostics domain; to develop a representation scheme for acquired knowledge; to develop a logical interface, which corresponds to the developed scheme; to determine the type of dialogue with the person under evaluation (user interface development); to integrate all the above-​mentioned components into a computer-aided system.

For students and beginner physicians the system will be implemented as a system of targeted training, while for advanced practitioners it will be a source of independent assessment of their own professional skills. Simultaneously, for academics the system will offer methods for evaluation of knowledge and professional skills in order to organize an adaptive training oriented on individual peculiarities of each student.

The field of ultrasound examination was chosen as a subdomain for testing of methods, algorithms and evaluation techniques proposed in this project.