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Računanje učinkovin ter aplikabilnost pri elektronskem predpisovanju zdravil
ID KORASA, NEJC (Author), ID Lavbič, Dejan (Mentor) More about this mentor... This link opens in a new window

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MD5: 1C9A18E6F61A8B4FA953A23B7FEFF1BA
PID: 20.500.12556/rul/ccd32e54-20dc-425d-837a-2ced44daca19

Abstract
Diplomska naloga opisuje rešitev preračuna aplicirane učinkovine zdravila v aplikacijah za elektronsko predpisovanje zdravil. Izpostavi pogoste probleme takšnih aplikacij in predstavi njihove rešitve. Ključna področja za uspešnost rešitve so pravilno strukturiran, večnivojski šifrant zdravil, šifrant enot in možnost medsebojne konverzije ter sistem za kreiranje in apliciranje administracij zdravil. Sistemi za elektronsko predpisovanje zdravil zelo dobro sovpadajo z uporabo openEHR standarda, ki predstavlja standardizirano strukturo shranjevanja kliničnih podatkov na mednarodnem nivoju. Diplomsko delo predstavi uporabo takšnega sistema kot rešitev za preračun prekomerne doze aplicirane učinkovine v aplikacijah za elektronsko predpisovanje zdravil. Predstavljeni so primeri uporabe v produktu Think!Meds. Opravljena je bila tudi statistična analiza takšnega sistema pri uporabi opozoril o možnem predoziranju učinkovine paracetamol na realnih podatkih bolnišnice.

Language:Slovenian
Keywords:openEHR, elektronsko predpisovanje zdravil, podpora za klinične odločitve, šifrant zdravil, paracetamol
Work type:Bachelor thesis/paper
Organization:FRI - Faculty of Computer and Information Science
Year:2018
PID:20.500.12556/RUL-100106 This link opens in a new window
Publication date in RUL:07.03.2018
Views:2486
Downloads:1230
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Secondary language

Language:English
Title:Computation of medication ingredients and applicability in electronic prescribing of medicinal products
Abstract:
The thesis describes the solution of calculating the applied medication ingredients in the electronic prescribing applications. It presents the common problems of such applications and their solutions. The key areas for the success are a properly structured, multi-level drug dictionary, unit dictionary with mutual conversion option and a system for creating and administering medications. Electronic prescribing systems coincide very well with the use of an openEHR standard, which represents a standardized structure for storing clinical data at the international level. The thesis presents the applicability of such a system as a solution for computing an overdose of an applied medication ingredient in applications for electronic prescribing. Solution is presented as used in the Think!Meds product. A statistical analysis of such a system was also performed on the real data of the hospital. System is implemented as clinical decision support for warnings about possible overdose of paracetamol.

Keywords:openEHR, electronic prescribing, clinical decision support, drug dictionary, paracetamol

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