Open Labyrinth – a Web Application for Medical Education Using Virtual Patients
Journal Title: Applied Medical Informatics - Year 2010, Vol 27, Issue 4
Abstract
The aim of this paper is to present an application, implemented and used at “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj Napoca for medical education, The application, called Open Labyrinth is an open source, web based application, developed using ASP technology, very useful for medical education using virtual patients technology. All the virtual patients developed using this application are MedBiquitos compliant. This application was implemented at University of Medicine and Pharmacy “Iuliu Haţieganu” Cluj-Napoca, part of eVip Project. There were developed four virtual patients, three of them were included in eVip database. The user friendly interface, the compliance with the standards, the level of IT knowledge request for the case developers make this application a useful tool for medical education at the clinical level.
Authors and Affiliations
Tudor CĂLINICI, Valentin MUNTEAN
Tooth Enamel, the Result of the Relationship between Matrix Proteins and Hydroxyapatite Crystals
Enamel, a structure of epithelial origin, represents a protective tooth cover. The cells responsible for the formation of enamel, ameloblasts, are lost at the time of tooth eruption, so that enamel becomes an acellular s...
Hybrid Machine Learning Approaches in Viability Assessment of Dental Pulp Stem Cells Treated with Platelet-Rich Concentrates on Different Periods
The unique characteristics of dental pulp stem cells (DPSCs), like multi-lineage differentiation, have attracted considerable interest among clinicians and researchers for the treatment of various diseases. Platelet-deri...
Extracting and Structuring Drug Information to Improve e-Prescription and Streamline Medical Treatment
Currently, physicians are using the patient electronic health record (EHR) to support their practice. The Romanian healthcare system switched to the electronic prescription starting with 2012. Physicians use the electron...
Classification of medical text using neural networks
Neural networks methods have recently influenced many areas, including natural language processing. The algorithms are constantly improved with increased performance compared to what exists in each domain. Learning effec...
Unsupervised Multimodal Magnetic Resonance Images Segmentation and Multiple Sclerosis Lesions Extraction based on Edge and Texture Features
Segmentation of Multiple Sclerosis (MS) lesions is a crucial part of MS diagnosis and therapy. Segmentation of lesions is usually performed manually, exposing this process to human errors. Thus, exploiting automatic and...