Digitalizacija diagnostičnih in terapevtskih algoritmov za hitro odločanje ob pacientu

Kovačič, Blaž (author), Šajn, Luka (mentor)

Hitro in učinkovito diagnosticiranje ter zdravljenje bolezni je ključnega pomena. Temelji na analizi velikega števila simptomov, znakov in laboratorijskih izvidov, kar terja sistematičen pristop. Kot pripomoček so slovenski zdravniki za področje notranjih bolezni razvili diagnostične in terapevtske algoritme. Ti v tiskani obliki obstajajo že več kot dvajset let in kar kličejo po digitalizaciji, ki bi znatno pospešila sprejemanje odločitev, izboljšala stroškovno učinkovitost, pospešila zdravstvene obravnave in zmanjšala število strokovnih napak. V okviru diplomske naloge sem razvil spletno aplikacijo "Algomed", ki omogoča elektronsko pregledovanje pa tudi dopolnjevanje, urejanje in kreiranje medicinskih algoritmov. Za razvoj sem uporabil programsko ogrodje MeteorJS, ki je del programskega okolja Node.js. Algomed je delujoč prototip aplikacije, ki ga je možno izboljševati in razviti do praktične uporabnosti.

• Language: Slovenian
• Keywords: Medicinski algoritem, medicinska diagnoza, medicinska terapija, spletna aplikacija, Node.js, MeteorJS
• Work type: Bachelor thesis/paper
• Organization: FRI - Faculty of Computer and Information Science
• Year: 2016
• PID: 20.500.12556/RUL-85557
• Publication date in RUL: 16.09.2016

Secondary language

• Language: English
• Title: Digitization of diagnostic and therapeutic algorithms for fast decision making at the patient-side

Abstract

Fast and efficient diagnosis and treatment of patient's disease is crucial. It is based on the analysis of a large number of symptoms, signs and laboratory findings which requires a systematic approach. A group of Slovenian specialists of internal medicine have developed and published diagnostic and therapeutic algorithms. These have existed for more than twenty years in printed form only which calls for digitization which would significantly speed up the decision-making process, improve cost--effectiveness, speed up medical treatment and decrease number of medical errors. As a part of the thesis I developed a web application "Algomed" that allows electronic examination and also updating and editing of existing algorithms. For the development of the application I used software framework MeteorJS which is part of Node.js software environment. Algomed is a working prototype of an application which can be upgraded and developed to its practical use.

• Keywords: Medical algorithm, medical diagnosis, medical therapy, web application, Node.js, MeteorJS