Supervisors info:
Δρ.Παρίσης Γαλλός,Ακαδημαϊκός Υπότροφος,Τμήμα Νοσηλέυτικής,ΕΚΠΑ
Δρ.Εμμανουήλ Ζούλιας,ΕΔΙΠ,Τμήμα Νοσηλευτικής,ΕΚΠΑ
Δρ.Ιωάννης Μαντάς,Καθήγητης,Τμήμα Νοσηλευτικής,ΕΚΠΑ
Summary:
Amyotrophic lateral sclerosis (ALS) is an idiopathic, deadly neurodegenerative disease of the human locomotor system. In the 150 years since Charcot first described ALS, there has been slow progress in answering many questions about the condition. The diagnosis of the disease is made by the history and the clinical examination and is confirmed by the electromyogram. There is no definitive treatment of the disease so far. In order to slow down its course, special drugs are administered and intensive physiotherapy is performed. Integrated care management requires a complex network of specialized health and social care services, with the adoption of technology and the assistance of the Health Informatics industry in the daily life of the patient, to be of major importance. In this work, the current concepts about the origin of the disease, what predisposes patients to develop the disorder are presented, all the basic elements related to the pathophysiology, the clinical picture and the management of the disease in its various stages are developed, which is supportive, comforting and interdisciplinary. In addition, there is a discussion about the different cases of ALS and possible future treatments. Finally, an information tool is presented that aims to make decisions in this disease. The aforementioned tool works collaboratively for the diagnosis and treatment of a patient suffering from motor neurone disease by entering some data on the disease and giving relevant results. For its development, HTML was used for the structure of the application, CSS for the styling of the application and JavaScript programming language for the functionality of the application. The patient information can be stored in the tool database. The above tool can be considered innovative for its time by offering more options to each user, helping him in the immediate prediction and treatment of the disease.
