Διαδικασιοστρεφές σύστημα ηλεκτρονικής μάθησης για εκπαίδευση επαγγελματιών υγείας σε μεγάλα δεδομένα

Καραμπέτσου, Βασιλική

Master Thesis

Author

Καραμπέτσου, Βασιλική

Date

2015

Abstract

The timeless request for accurate and effective medical diagnosis and treatment is nowadays more important than ever due to the restricted financial resources. The deterioration of medical mistakes leads to the demand of healthcare system to both improve the provided services quality and reduce the costs. The solution we propose is physician’s education in searching, gathering, visualization and storing in digital form of all data they need to improve their practice. It’s really important to show that ‘big data’ is rather a valuable opportunity and a challenge than a problem. In fact, this is an attempt to educate healthcare professionals – mainly doctors – to use big data in order to make their practice easier and more effective. During the past, a lot of systems that intended to provide information to doctors had been produced but they weren’t adopted. It seems that these systems didn’t satisfy physicians’ needs.(1) That’s the reason a new learning model is presented, a model planned especially for learners’ custom needs. Taking medical decisions based on big data - combined with the valuable knowledge and experience of physicians - can lead to safer and more accurate diagnosis and effective treatments. Big data promise to offer support to medical staff just when they need it, making medical practice easier and more efficient. Medical decisions need not be taken now by instinct and intuition, but may be based on data and knowledge. The expected benefits from their use are important. They considered that their use may lead to reduction of costs in the health system by reducing errors. At the same time they can contribute to satisfying both patients who will receive effective medical care, and doctors, who will receive support and feedback during the performance of their duties. This model will utilize Learning Analytics with a view which provides assistance to learners and improves the educational process. Learning Analytics promise to transform the training of doctors as big data promise to transform everyday medical diagnosis and treatment. Finally, an e-learning system based on workflow technology will be implemented. This system incorporates the above learning model.

Postgraduate Studies Programme

Διδακτική της Τεχνολογίας και Ψηφιακά Συστήματα

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών Συστημάτων

Number of pages

179

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/8828

Collections

Τμήμα Ψηφιακών Συστημάτων

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