{"?xml":{"@version":"1.0"},"edm:RDF":{"@xmlns:dc":"http://purl.org/dc/elements/1.1/","@xmlns:edm":"http://www.europeana.eu/schemas/edm/","@xmlns:wgs84_pos":"http://www.w3.org/2003/01/geo/wgs84_pos","@xmlns:foaf":"http://xmlns.com/foaf/0.1/","@xmlns:rdaGr2":"http://rdvocab.info/ElementsGr2","@xmlns:oai":"http://www.openarchives.org/OAI/2.0/","@xmlns:owl":"http://www.w3.org/2002/07/owl#","@xmlns:rdf":"http://www.w3.org/1999/02/22-rdf-syntax-ns#","@xmlns:ore":"http://www.openarchives.org/ore/terms/","@xmlns:skos":"http://www.w3.org/2004/02/skos/core#","@xmlns:dcterms":"http://purl.org/dc/terms/","edm:WebResource":[{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-7PYPGFMK/b228b6bd-dfbc-4eb4-96a9-4a33aa073b4b/PDF","dcterms:extent":"552 KB"},{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-7PYPGFMK/48ea00dd-c068-436a-9fe7-d4c320e05e90/TEXT","dcterms:extent":"40 KB"}],"edm:TimeSpan":{"@rdf:about":"2005-2025","edm:begin":{"@xml:lang":"en","#text":"2005"},"edm:end":{"@xml:lang":"en","#text":"2025"}},"edm:ProvidedCHO":{"@rdf:about":"URN:NBN:SI:DOC-7PYPGFMK","dcterms:isPartOf":[{"@rdf:resource":"https://www.dlib.si/details/URN:NBN:SI:spr-8ER5ZBJN"},{"@xml:lang":"sl","#text":"Farmacevtski vestnik"}],"dcterms:issued":"2025","dc:creator":["Horvat, Nejc","Knez, Lea","Kodrič, Ana"],"dc:format":[{"@xml:lang":"sl","#text":"številka:5"},{"@xml:lang":"sl","#text":"letnik:76"},{"@xml:lang":"sl","#text":"str. 303-312"}],"dc:identifier":["ISSN:2536-4316","COBISSID_HOST:266043395","URN:URN:NBN:SI:doc-7PYPGFMK"],"dc:language":"sl","dc:publisher":{"@xml:lang":"sl","#text":"Slovensko farmacevtsko društvo"},"dc:subject":[{"@xml:lang":"en","#text":"artificial intelligence"},{"@xml:lang":"sl","#text":"ChatGPT"},{"@xml:lang":"en","#text":"clinical pharmacy"},{"@xml:lang":"sl","#text":"Farmacija"},{"@xml:lang":"sl","#text":"klinična farmacija"},{"@xml:lang":"en","#text":"large language models"},{"@xml:lang":"en","#text":"medication review"},{"@xml:lang":"sl","#text":"pregled zdravljenja z zdravili"},{"@xml:lang":"sl","#text":"Umetna inteligenca"},{"@xml:lang":"sl","#text":"veliki jezikovni modeli"}],"dcterms:temporal":{"@rdf:resource":"2005-2025"},"dc:title":{"@xml:lang":"sl","#text":"Uporabnost velikega jezikovnega modela ChatGPT pri obravnavi kliničnih primerov pacientov| Usefulness of the large language model ChatGPT in the evaluation of clinical patient cases|"},"dc:description":[{"@xml:lang":"sl","#text":"Opportunities for using large language models are emerging in healthcare, including pharmacy. To evaluate ChatGPT’s (version GPT 3.5, march 2023) usefulness in clinical pharmacy, five clinical pharmacists assessed its performance on clinical cases. ChatGPT demonstrated utility in identifying basic issues, such as drug interactions and adverse effects, but its responses were often overly general or incorrect. Answer accuracy was 29% for general questions and only 19% for specific ones, with frequent lack of context reducing their practical value. While pharmacists found the responses linguistically clear, they criticised the lack of comprehensiveness and reasoning. Opinions on using artificial intelligence in clinical practice were mixed; some recognised its potential for supporting decision-making, while others emphasised its limited accuracy and lack of professional judgement. Although ChatGPT can assist in clinical decisions, it currently cannot replace the professional judgement of a pharmacist"},{"@xml:lang":"sl","#text":"Na področju zdravstva, vključno s farmacijo, se pojavljajo možnosti uporabe velikih jezikovnih modelov, zato smo želeli oceniti uporabnost ChatGPT v klinični farmaciji. Pet kliničnih farmacevtk je ocenjevalo uspešnost ChatGPT (verzija GPT 3.5, marec 2023) pri obravnavi kliničnih primerov. ChatGPT se je izkazal kot uporaben pri prepoznavanju osnovnih težav, kot so interakcije med zdravili in neželeni učinki, vendar so bili odgovori včasih preveč splošni ali napačni. Pri splošnih vprašanjih je bila pravilnost odgovorov 29 %, pri specifičnih vprašanjih pa le 19 %, pri čemer je pogosto izostal kontekstualni vidik, kar je zmanjšalo uporabnost odgovorov. Klinične farmacevtke so odgovore ocenile kot jasne in jezikovno ustrezne, vendar so opozorile na pomanjkanje celovitosti in argumentacije. Mnenja o uporabi umetne inteligence v klinični praksi so bila deljena, saj so nekatere klinične farmacevtke prepoznale njen potencial pri podpori odločanju, druge pa so izpostavile omejeno pravilnost in pomanjkanje strokovne presoje. Čeprav ChatGPT lahko podpira klinične odločitve, trenutno še ne more nadomestiti strokovne presoje farmacevta"}],"edm:type":"TEXT","dc:type":[{"@xml:lang":"sl","#text":"znanstveno časopisje"},{"@xml:lang":"en","#text":"journals"},{"@rdf:resource":"http://www.wikidata.org/entity/Q361785"}]},"ore:Aggregation":{"@rdf:about":"http://www.dlib.si/?URN=URN:NBN:SI:DOC-7PYPGFMK","edm:aggregatedCHO":{"@rdf:resource":"URN:NBN:SI:DOC-7PYPGFMK"},"edm:isShownBy":{"@rdf:resource":"http://www.dlib.si/stream/URN:NBN:SI:DOC-7PYPGFMK/b228b6bd-dfbc-4eb4-96a9-4a33aa073b4b/PDF"},"edm:rights":{"@rdf:resource":"http://creativecommons.org/licenses/by-nc/4.0/"},"edm:provider":"Slovenian National E-content Aggregator","edm:intermediateProvider":{"@xml:lang":"en","#text":"National and University Library of Slovenia"},"edm:dataProvider":{"@xml:lang":"sl","#text":"Slovensko farmacevtsko društvo"},"edm:object":{"@rdf:resource":"http://www.dlib.si/streamdb/URN:NBN:SI:DOC-7PYPGFMK/maxi/edm"},"edm:isShownAt":{"@rdf:resource":"http://www.dlib.si/details/URN:NBN:SI:DOC-7PYPGFMK"}}}}