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Title: Prepoznavanje neželenih učinkov zdravil na Interni kliniki Univerzitetnega kliničnega centra Ljubljana Authors: ID Dobravc Verbič, Matej (Author) ID Kerec Kos, Mojca (Author) ID Brvar, Miran (Author) Files: PDF - Presentation file, download (329,41 KB) MD5: 7FD53F88F724CEC152A86F458C10807F   URL - Source URL, visit https://www.sfd.si/wp-content/uploads/2025/10/dobravc.pdf   Language: Slovenian Typology: 1.02 - Review Article Organization: UKC LJ - Ljubljana University Medical Centre Abstract: Farmakovigilanca zajema odkrivanje in obravnavo neželenih učinkov zdravil ter drugih težav, povezanih z zdravili. V Univerzitetnem kliničnem centru Ljubljana smo v okviru Centra za klinično toksikologijo in farmakologijo v preteklih letih izvedli več raziskav, osredotočenih na prepoznavanje in obravnavo neželenih učinkov zdravil na Interni kliniki. Posebno pozornost smo namenili ocenjevanju vzročne povezanosti med domnevnimi neželenimi učinki zdravil in povzročitelji. V ta namen smo razvili orodje, ki poleg objektivne ocene vzročne povezanosti po lestvici Naranjo vključuje tudi ločeni strokovni oceni zdravnika in raziskovalcev. Novo orodje omogoča razvrstitev večjega števila primerov med potrjene neželene učinke. Pri prepoznavi neželenih učinkov zdravil iz elektronske dokumentacije bolnikov pomembno vlogo igrajo ključne besede, ki zajemajo nespecifične in specifične ključne besede, imena zdravil in laboratorijske kazalce. Žal ima večina ključnih besed nizko napovedno vrednost, zato si v prihodnosti želimo razvoj programskih orodij, ki bodo omogočila kompleksnejše načine iskanja in prepoznave neželenih učinkov ter s tem zmanjšala količino zamudnega ročnega dela Keywords: farmakovigilanca, neželeni učinki zdravi, ocena vzročne povezanost Publication status: Published Publication version: Version of Record Year of publishing: 2025 Number of pages: str. 227-236 Numbering: Letn. 76, št. 4 PID: 20.500.12556/DiRROS-24669  UDC: 615.065:616-085 ISSN on article: 0014-8229 COBISS.SI-ID: 255350531  Publication date in DiRROS: 11.12.2025 Views: 68 Downloads: 29 Metadata:    Cite this work Plain text BibTeX EndNote XML EndNote/Refer RIS ABNT ACM Ref AMA APA Chicago 17th Author-Date Harvard IEEE ISO 690 MLA Vancouver : Copy citation

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Record is a part of a journal

Title:	Farmacevtski vestnik : strokovno glasilo slovenske farmacije
Shortened title:	Farm. vestn.
Publisher:	Slovensko farmacevtsko društvo
ISSN:	0014-8229
COBISS.SI-ID:	3105794

Licences

License:	CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:	http://creativecommons.org/licenses/by-nc/4.0/
Description:	A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.

Secondary language

Language:	English
Title:	Recognition of adverse drug reactions at the division of internal medicine, University Medical Centre Ljubljana
Abstract:	Pharmacovigilance includes the detection and treatment of adverse drug reactions and other drug-related complications. In the last years, several studies have been conducted at the Centre for clinical toxicology and pharmacology of the University medical centre Ljubljana, focusing on the recognition and management of adverse drug reactions in internal patients. Particular focus was placed on the assessment of the causality relationship between suspected adverse drug reactions and the causative drugs. We developed a new causality assessment tool that included the objective Naranjo score and separate expert judgments of the physician and investigators. With the new tool, a larger number of adverse drug reaction cases were assessed as certain. Keywords play an important role in the identification of adverse drug reactions from the patients’ electronic medical records. These include non-specific and specific keywords, drug names and laboratory markers. Unfortunately, most keywords have a low positive predictive value. In the future, we would like to implement improved software tools that would enable more complex methods of automatized adverse drug reaction search and thus reduce the need for time-consuming manual search methods
Keywords:	pharmacovigilance, adverse drug reactions, causality assessment

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