{"id":37506,"date":"2025-09-01T12:55:26","date_gmt":"2025-09-01T12:55:26","guid":{"rendered":"https:\/\/direc.dk\/1813ai-responsible-ai-for-the-emergency-hotline\/"},"modified":"2026-05-06T12:39:14","modified_gmt":"2026-05-06T12:39:14","slug":"1813ai-responsible-ai-for-the-emergency-hotline","status":"publish","type":"post","link":"https:\/\/direc.dk\/da\/1813ai-responsible-ai-for-the-emergency-hotline\/","title":{"rendered":"1813AI: Ansvarlig AI til akuttelefonen"},"content":{"rendered":"\t\t
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DIREC-projekt<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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1813AI: Ansvarlig AI til akuttelefonen <\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Projektv\u00e6rdi<\/h2>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Hver dag ringer hundredvis af borgere til 1813-akuttelefonen, men en h\u00f8j andel af fejlhenvendelser l\u00e6gger yderligere pres p\u00e5 et i forvejen belastet system. 1813AI udvikler en borgerrettet, adaptiv AI-chatl\u00f8sning, som gennem en ny selvbetjeningsl\u00f8sning vil kunne vejlede og indhente oplysninger i ventetiden. Dette skaber hurtigere adgang til hj\u00e6lp og bidrager til et mere retf\u00e6rdigt og effektivt sundhedsv\u00e6sen.<\/p>


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1813AI-projektet flugter t\u00e6t med DIRECs m\u00e5ls\u00e6tning om at st\u00f8tte ansvarlig og skalerbar AI i den offentlige sektor. Med afs\u00e6t i nationalt samarbejde, offentlige data og europ\u00e6iske v\u00e6rdier kombineres avanceret forskning med konkrete fordele for b\u00e5de borgere og offentligt ansatte.<\/p>


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Projektet er forankret i et unikt samarbejde mellem K\u00f8benhavns Universitet, IT-Universitetet i K\u00f8benhavn og Akutberedskabet i Region Hovedstaden.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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PROJEKTDATA<\/h2>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Projektnavn<\/strong><\/h5>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t1813AI: Ansvarlig AI til akuttelefonen\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Projektperiode<\/strong><\/h5>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t2025-2027\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Finansering<\/strong><\/h5>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tDKK 4.000.000\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Videnskabelig tilgang<\/h2>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Kernen i 1813AI er en lokalt finjusteret sprogmodel, der er udvidet med Retrieval-Augmented Generation (RAG), hvilket sikrer, at svarene baseres p\u00e5 verificeret sundhedsinformation. Modellen er designet til l\u00f8bende at forbedre sig og indeholder mekanismer til at h\u00e5ndtere usikkerhed \u2013 for eksempel ved eksplicit at anerkende, n\u00e5r den ikke kan give et entydigt svar.<\/p>


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Ved at integrere Natural Language Processing med Human-Computer Interaction giver systemet en konkret demonstration af, hvordan sprogmodeller kan anvendes ansvarligt i den offentlige sektor.<\/p>


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Udviklingen bygger p\u00e5 Danmarks st\u00f8rste datas\u00e6t af opkald til akuttelefonen, som omfatter mere end 4 millioner registreringer. Kliniske fagfolk, udviklere og AI-forskere arbejder t\u00e6t sammen gennem hele processen, mens borgerne inddrages aktivt gennem l\u00f8bende test og feedback.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Projektdeltagere<\/h2>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\"Tariq<\/div>\n <\/td>\n
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Tariq Osman Andersen – Associate Professor – University of Copenhagen<\/div>\n <\/td>\n <\/tr>\n \n
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\"Christian<\/div>\n <\/td>\n
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Christian Hardmeier – Associate Professor – IT University Copenhagen<\/div>\n <\/td>\n <\/tr>\n \n
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\"Hubert<\/div>\n <\/td>\n
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Hubert Dariusz Zajac – Post Doc – University of Copenhagen<\/div>\n <\/td>\n <\/tr>\n \n
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\"Mette<\/div>\n <\/td>\n
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Mette Bjerg Lindh\u00f8j – Specialist Consultant – Emergency Medical Services, Capital Region<\/div>\n <\/td>\n <\/tr>\n \n <\/tbody>\n <\/table>\n \t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Partnere<\/h2>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n \"IT\"University\"Emergency\n <\/div>\n <\/div>\n \t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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The opportunities with the 1813AI project are unique and important to us. We always seek to use our data to benefit citizens, and this project especially involves utilizing our very large call dataset and enable us to explore the potential with Al in practice. However, the application af LLMs is new to us – we have very little in-house expertise in that area, and it involves resources which are hard to find.<\/p>\n

The project will be of strategic importance, since it will kickstart the work of exploring the potential by building in-house LLM\/AI solutions into our self-service hub as opposed to partnering with external partners.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Mette Bjerg Lindh\u00f8j<\/strong>
Specialist Consultant at Digitalization
Emergency Medical Services
Capital Region of Denmark<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Indsigter og medied\u00e6kning<\/h2>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<\/a>\n\t\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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4. maj 2026<\/strong><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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It-forsker Silja Vase: AI i sundhedsv\u00e6senet b\u00f8r udvikles t\u00e6t p\u00e5 praksis i samarbejde med l\u00e6gerne<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

1813AI fokuserer p\u00e5 borgere med skader og udvikler en borgerrettet, adaptiv AI-chatl\u00f8sning, der gennem en ny selvbetjeningsapp vil give vejledning og hente information i ventetiden. Dette skaber hurtigere adgang til hj\u00e6lp, reducerer personalets stress og bidrager til en mere retf\u00e6rdig og effektiv sundhedsservice.<\/p>\n","protected":false},"author":3,"featured_media":36840,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[211,213,218],"tags":[219],"class_list":["post-37506","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-digital-sundhed","category-projekt","tag-next-gen-ai"],"yoast_head":"\n1813AI: Ansvarlig AI til akuttelefonen - DIREC<\/title>\n<meta name=\"description\" content=\"Spin-qubit quantum-dot arrays are one of the most promising candidates for universal quantum computing. 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Dette skaber hurtigere adgang til hj\u00e6lp og bidrager til et mere retf\u00e6rdigt og effektivt sundhedsv\u00e6sen.<\/p><p class=\"p2\"><br><\/p><p class=\"p1\">1813AI-projektet flugter t\u00e6t med DIRECs m\u00e5ls\u00e6tning om at st\u00f8tte ansvarlig og skalerbar AI i den offentlige sektor. Med afs\u00e6t i nationalt samarbejde, offentlige data og europ\u00e6iske v\u00e6rdier kombineres avanceret forskning med konkrete fordele for b\u00e5de borgere og offentligt ansatte.<\/p><p class=\"p2\"><br><\/p><p class=\"p1\">Projektet er forankret i et unikt samarbejde mellem K\u00f8benhavns Universitet, IT-Universitetet i K\u00f8benhavn og Akutberedskabet i Region Hovedstaden.<\/p>","dynamic_page_partners":"\n <div style=\"text-align: left;margin: 20px 0\">\n <div style=\"max-width: 100%\">\n <img src=\"https:\/\/direc.dk\/wp-content\/uploads\/2020\/11\/ITU_logo_UK.png\" alt=\"IT University Copenhagen logo\" style=\"height: 75px;width: auto;min-width: 75px;max-width: 200px;object-fit: contain;margin: 0 25px 25px 0;vertical-align: middle\" \/><img src=\"https:\/\/direc.dk\/wp-content\/uploads\/2020\/11\/University-of-Copenhagen.png\" alt=\"University of Copenhagen logo\" style=\"height: 75px;width: auto;min-width: 75px;max-width: 200px;object-fit: contain;margin: 0 25px 25px 0;vertical-align: middle\" \/><img src=\"https:\/\/direc.dk\/wp-content\/uploads\/2021\/11\/Capital-Region-Denmark.png\" alt=\"Emergency Medical Services, Capital Region logo\" style=\"height: 75px;width: auto;min-width: 75px;max-width: 200px;object-fit: contain;margin: 0 25px 25px 0;vertical-align: middle\" \/>\n <\/div>\n <\/div>\n ","dynamic_page_scientific_impact":"<p class=\"p1\">Kernen i 1813AI er en lokalt finjusteret sprogmodel, der er udvidet med Retrieval-Augmented Generation (RAG), hvilket sikrer, at svarene baseres p\u00e5 verificeret sundhedsinformation. Modellen er designet til l\u00f8bende at forbedre sig og indeholder mekanismer til at h\u00e5ndtere usikkerhed \u2013 for eksempel ved eksplicit at anerkende, n\u00e5r den ikke kan give et entydigt svar.<\/p><p class=\"p2\"><br><\/p><p class=\"p1\">Ved at integrere Natural Language Processing med Human-Computer Interaction giver systemet en konkret demonstration af, hvordan sprogmodeller kan anvendes ansvarligt i den offentlige sektor.<\/p><p class=\"p2\"><br><\/p><p class=\"p1\">Udviklingen bygger p\u00e5 Danmarks st\u00f8rste datas\u00e6t af opkald til akuttelefonen, som omfatter mere end 4 millioner registreringer. Kliniske fagfolk, udviklere og AI-forskere arbejder t\u00e6t sammen gennem hele processen, mens borgerne inddrages aktivt gennem l\u00f8bende test og feedback.<\/p>","dynamic_page_people":"\n <table style=\"width: 100%;border-collapse: collapse;margin: 20px 0;border: none;background: none\">\n <tbody style=\"border: none;background: none\">\n \n <tr>\n <td style=\"padding: 12px;text-align: center;vertical-align: top;border: none;background: none\">\n <div class=\"researcher-photo\"><img src=\"https:\/\/www2.adm.ku.dk\/selv\/pls\/prt_www40.hentindhold_cms?p_personid=353044\" alt=\"Tariq Osman Andersen\" style=\"width: 80px;height: 80px;min-width: 80px;min-height: 80px;border-radius: 50%;object-fit: cover;border: 2px solid #ddd;display: block;margin: 0 auto;max-width: 100%\" \/><\/div>\n <\/td>\n <td style=\"padding: 12px;vertical-align: top;border: none;background: none\">\n <div class=\"participant-name\" style=\"font-weight: normal;font-size: 18px;color: #1C2966\">Tariq Osman Andersen - Associate Professor - University of Copenhagen<\/div>\n <\/td>\n <\/tr>\n \n <tr>\n <td style=\"padding: 12px;text-align: center;vertical-align: top;border: none;background: none\">\n <div class=\"researcher-photo\"><img src=\"https:\/\/christianhardmeier.rax.ch\/images\/portrait.jpg\" alt=\"Christian Hardmeier\" style=\"width: 80px;height: 80px;min-width: 80px;min-height: 80px;border-radius: 50%;object-fit: cover;border: 2px solid #ddd;display: block;margin: 0 auto;max-width: 100%\" \/><\/div>\n <\/td>\n <td style=\"padding: 12px;vertical-align: top;border: none;background: none\">\n <div class=\"participant-name\" style=\"font-weight: normal;font-size: 18px;color: #1C2966\">Christian Hardmeier - Associate Professor - IT University Copenhagen<\/div>\n <\/td>\n <\/tr>\n \n <tr>\n <td style=\"padding: 12px;text-align: center;vertical-align: top;border: none;background: none\">\n <div class=\"researcher-photo\"><img src=\"https:\/\/direc.dk\/wp-content\/uploads\/2025\/09\/Hubert_Zajac.jpg\" alt=\"Hubert Dariusz Zajac\" style=\"width: 80px;height: 80px;min-width: 80px;min-height: 80px;border-radius: 50%;object-fit: cover;border: 2px solid #ddd;display: block;margin: 0 auto;max-width: 100%\" \/><\/div>\n <\/td>\n <td style=\"padding: 12px;vertical-align: top;border: none;background: none\">\n <div class=\"participant-name\" style=\"font-weight: normal;font-size: 18px;color: #1C2966\">Hubert Dariusz Zajac - Post Doc - University of Copenhagen<\/div>\n <\/td>\n <\/tr>\n \n <tr>\n <td style=\"padding: 12px;text-align: center;vertical-align: top;border: none;background: none\">\n <div class=\"researcher-photo\"><img src=\"https:\/\/direc.dk\/wp-content\/uploads\/2025\/09\/Mette-Bjerg-Lindhoej.jpg\" alt=\"Mette Bjerg Lindh\u00f8j\" style=\"width: 80px;height: 80px;min-width: 80px;min-height: 80px;border-radius: 50%;object-fit: cover;border: 2px solid #ddd;display: block;margin: 0 auto;max-width: 100%\" \/><\/div>\n <\/td>\n <td style=\"padding: 12px;vertical-align: top;border: none;background: none\">\n <div class=\"participant-name\" style=\"font-weight: normal;font-size: 18px;color: #1C2966\">Mette Bjerg Lindh\u00f8j - Specialist Consultant - Emergency Medical Services, Capital Region<\/div>\n <\/td>\n <\/tr>\n \n <\/tbody>\n <\/table>\n ","dynamic_page_project_period":"2025-2027","dynamic_page_funding":"DKK 4.000.000","dynamic_page_publications":"","dynamic_page_cover_image":"https:\/\/direc.dk\/wp-content\/uploads\/2025\/09\/Emergency-Triage-768x432.jpg","_links":{"self":[{"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/posts\/37506","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/comments?post=37506"}],"version-history":[{"count":3,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/posts\/37506\/revisions"}],"predecessor-version":[{"id":42258,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/posts\/37506\/revisions\/42258"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/media\/36840"}],"wp:attachment":[{"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/media?parent=37506"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/categories?post=37506"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/tags?post=37506"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}