{"id":142441,"date":"2020-07-23T10:23:45","date_gmt":"2020-07-23T10:23:45","guid":{"rendered":"https:\/\/labinsights.com\/acf_article\/sudut-pandang-tiongkok-penggalian-data-kecerdasan-buatan-dan-laboratorium-cerdas\/"},"modified":"2026-01-06T12:01:33","modified_gmt":"2026-01-06T12:01:33","slug":"china-viewpoint-data-mining-ai-and-the-intelligent-lab","status":"publish","type":"acf_article","link":"https:\/\/labinsights.com\/id\/operations\/artificial-intelligence\/china-viewpoint-data-mining-ai-and-the-intelligent-lab\/","title":{"rendered":"Sudut pandang Tiongkok: penggalian data, kecerdasan buatan, dan \u201claboratorium cerdas\u201d"},"content":{"rendered":"<p>Kita sering mendengar bahwa data laboratorium klinik dapat dikumpulkan dan dianalisis untuk meningkatkan kualitas perawatan pasien dan pengelolaan sistem kesehatan. Dalam wawancaranya baru-baru ini dengan Roche Diagnostics, Prof Yi Zhang, Direktur Laboratorium Klinis di Rumah Sakit Qilu di Universitas Shangdong, membahas beberapa peluang khusus. Laboratorium Prof Zhang, yang berafiliasi dengan salah satu rumah sakit pendidikan terkemuka di Tiongkok, melakukan upaya yang signifikan untuk membersihkan dan mengklasifikasikan datanya\u2014termasuk data yang terfragmentasi, tidak terstruktur, dan heterogen\u2014guna memfasilitasi penerapan penggalian data dan kecerdasan buatan. &#8220;Integritas, koherensi, integrasi data ini, serta preservasi data ilmiah dan terstruktur, sangatlah penting bagi penggalian data selanjutnya,&#8221; katanya. Dengan mengelola data laboratorium klinis secara cermat dan membentuk tim multidisiplin yang memiliki keterampilan untuk memanfaatkannya, para profesional laboratorium dapat membantu mengembangkan alat-alat baru untuk prediksi penyakit, perawatan pencegahan, pengobatan presisi, dukungan keputusan klinis, penelitian klinis, manajemen pemanfaatan,\u00a0dan fungsi-fungsi lainnya. Prof Zhang percaya bahwa Tiongkok memiliki beberapa elemen yang tepat untuk mewujudkan kemampuan-kemampuan ini. \u201cPemerintah memberikan perhatian besar terhadap penyusunan kebijakan big data,\u201d katanya. &#8220;Sejak 2013, sekitar 70 kebijakan besar terkait data telah dikeluarkan.&#8221; Meskipun demikian, Prof Zhang tidak percaya bahwa big data dan kecerdasan buatan (AI) adalah solusi ajaib untuk semua tantangan di bidang kesehatan. &#8220;Kita seharusnya rasional tentang AI daripada terlalu mengandalkannya,&#8221; ujarnya. Dia juga menerapkan manajemen yang ramping dan pendekatan lainnya untuk memastikan laboratoriumnya beroperasi dengan lancar dan memenuhi tanggung jawabnya terhadap pasien.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Kita sering mendengar bahwa data laboratorium klinik dapat dikumpulkan dan dianalisis untuk meningkatkan kualitas perawatan pasien dan pengelolaan sistem kesehatan. Dalam wawancaranya baru-baru ini dengan Roche Diagnostics, Prof Yi Zhang, Direktur Laboratorium Klinis di Rumah Sakit Qilu di Universitas Shangdong, membahas beberapa peluang khusus. Laboratorium Prof Zhang, yang berafiliasi dengan salah satu rumah sakit pendidikan [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":90244,"parent":0,"menu_order":0,"template":"","meta":{"_acf_changed":false,"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":"","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":"","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":""}},"footnotes":""},"tags":[12881,12832,12834],"pillarandcategory":[319,306,300,309],"reporter":[13301],"class_list":["post-142441","acf_article","type-acf_article","status-publish","has-post-thumbnail","hentry","tag-tiongkok","tag-12832","tag-12834","pillarandcategory-artificial-intelligence","pillarandcategory-healthcare-transformation","pillarandcategory-management","pillarandcategory-operations","reporter-yi-zhang"],"acf":[],"_links":{"self":[{"href":"https:\/\/labinsights.com\/id\/wp-json\/wp\/v2\/acf_article\/142441","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labinsights.com\/id\/wp-json\/wp\/v2\/acf_article"}],"about":[{"href":"https:\/\/labinsights.com\/id\/wp-json\/wp\/v2\/types\/acf_article"}],"author":[{"embeddable":true,"href":"https:\/\/labinsights.com\/id\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":1,"href":"https:\/\/labinsights.com\/id\/wp-json\/wp\/v2\/acf_article\/142441\/revisions"}],"predecessor-version":[{"id":142603,"href":"https:\/\/labinsights.com\/id\/wp-json\/wp\/v2\/acf_article\/142441\/revisions\/142603"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/labinsights.com\/id\/wp-json\/wp\/v2\/media\/90244"}],"wp:attachment":[{"href":"https:\/\/labinsights.com\/id\/wp-json\/wp\/v2\/media?parent=142441"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/labinsights.com\/id\/wp-json\/wp\/v2\/tags?post=142441"},{"taxonomy":"pillarandcategory","embeddable":true,"href":"https:\/\/labinsights.com\/id\/wp-json\/wp\/v2\/pillarandcategory?post=142441"},{"taxonomy":"reporter","embeddable":true,"href":"https:\/\/labinsights.com\/id\/wp-json\/wp\/v2\/reporter?post=142441"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}