{"id":11426,"date":"2025-01-29T12:14:24","date_gmt":"2025-01-29T11:14:24","guid":{"rendered":"https:\/\/sygeplejevidenskab.dk\/?p=11426"},"modified":"2025-12-04T18:58:50","modified_gmt":"2025-12-04T17:58:50","slug":"de-mindst-velstillede-patienter-har-ikke-de-tal-de-fortjener","status":"publish","type":"post","link":"https:\/\/sygeplejevidenskab.dk\/index.php\/2025\/01\/29\/de-mindst-velstillede-patienter-har-ikke-de-tal-de-fortjener\/","title":{"rendered":"De mindst velstillede patienter har ikke de tal, de fortjener"},"content":{"rendered":"

\"\"<\/p>\n

En ukritisk brug af menneskelige data i AI-systemer har en tendens til at reproducere, og m\u00e5ske endda forv\u00e6rre, allerede eksisterende sociale uligheder. Der er brug for en revision af m\u00e5den, sundhedsv\u00e6senet indsamler data om borgerne p\u00e5. Det skriver Morten Sodemann i en kommentar i mediet R\u00e6son, hvor han peger p\u00e5 nogle oplagte l\u00f8sninger:<\/p>\n

1.<\/strong> Patienter skal involveres i, hvilke data der indsamles om dem og deres liv med sygdom.<\/p>\n

2.<\/strong> Kliniske databaser og elektroniske patientjournaler skal som rutine indeholde de manglende sociale informationer, som er forbundet med ulighed i behandling. Databaser skal ikke kun opfylde forskeres, politikeres og \u00f8konomers behov \u2013 de skal ogs\u00e5 tjene det f\u00e6lles gode dvs. beskytte mod konsekvenserne af social ulighed i sundhed, underst\u00f8tte at alle har lige adgang til sundhedsv\u00e6snets ressourcer og sikre ligebehandling baseret p\u00e5 aktuelle og komplette data der d\u00e6kker alle befolkningsgrupper.<\/p>\n

3.<\/strong> De sociale grupper, der oftest ikke deltager i nationale sp\u00f8rgeskemaunders\u00f8gelser skal interviewes p\u00e5 andre mere direkte m\u00e5der. Det kan g\u00f8res gennem kvalitative unders\u00f8gelser, telefoninterviews og fokusgrupper.<\/p>\n

4.<\/strong> Den viden, vi mangler om holdninger og adf\u00e6rd, skal prioriteres i forskning og det b\u00f8r v\u00e6re et krav i biomedicinsk forskning, at man inddrager samfundsmedicinske og humanistiske forskere i dataindsamling.<\/p>\n

5.<\/strong> Med s\u00e5 systematisk under- og misrepr\u00e6sentation af de mest s\u00e5rbare og mest syge befolkningsgrupper i sundhedsdata, og dermed politiske sundhedsprioriteringer, er der grund til at skabe en tv\u00e6rg\u00e5ende styrelse p\u00e5 sundhedsomr\u00e5det, som kan sikre at de manglende informationer bliver en integreret del af alle sundhedsdatabaser lige fra forebyggelse til den sidste fase af livet. Brugen af kunstig intelligens til at skabe sociale profiler for patienttyper og forudsige deres adf\u00e6rd skal overv\u00e5ges og styres.<\/p>\n

L\u00c6S DEBATINDL\u00c6GGET HER<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

En ukritisk brug af menneskelige data i AI-systemer har en tendens til at reproducere, og m\u00e5ske endda forv\u00e6rre, allerede eksisterende […]<\/p>\n","protected":false},"author":1,"featured_media":11427,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_ppp_document_settings_meta":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false,"_members_access_role":[],"_members_access_error":""},"categories":[16,186],"tags":[],"class_list":["post-11426","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-debat","category-forebyggelse-patientsikkerhed-ulighed"],"acf":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/sygeplejevidenskab.dk\/wp-content\/uploads\/2025\/01\/Ny-data-om-borgerne-Morten-Sodemann.png?fit=800%2C800&quality=80&ssl=1","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/sygeplejevidenskab.dk\/index.php\/wp-json\/wp\/v2\/posts\/11426","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sygeplejevidenskab.dk\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sygeplejevidenskab.dk\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sygeplejevidenskab.dk\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sygeplejevidenskab.dk\/index.php\/wp-json\/wp\/v2\/comments?post=11426"}],"version-history":[{"count":1,"href":"https:\/\/sygeplejevidenskab.dk\/index.php\/wp-json\/wp\/v2\/posts\/11426\/revisions"}],"predecessor-version":[{"id":21823,"href":"https:\/\/sygeplejevidenskab.dk\/index.php\/wp-json\/wp\/v2\/posts\/11426\/revisions\/21823"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sygeplejevidenskab.dk\/index.php\/wp-json\/wp\/v2\/media\/11427"}],"wp:attachment":[{"href":"https:\/\/sygeplejevidenskab.dk\/index.php\/wp-json\/wp\/v2\/media?parent=11426"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sygeplejevidenskab.dk\/index.php\/wp-json\/wp\/v2\/categories?post=11426"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sygeplejevidenskab.dk\/index.php\/wp-json\/wp\/v2\/tags?post=11426"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}