{"id":3732,"date":"2025-12-16T13:27:18","date_gmt":"2025-12-16T13:27:18","guid":{"rendered":"https:\/\/slipstream-it.local\/resources\/modernisierung-klinischer-unternehmensdaten-mit-datastream\/"},"modified":"2026-06-19T01:32:26","modified_gmt":"2026-06-19T01:32:26","slug":"article-headline-would-use-sentence-case","status":"publish","type":"resource","link":"https:\/\/www.slipstreamls.com\/de\/resources\/article-headline-would-use-sentence-case\/","title":{"rendered":"Modernisierung klinischer Unternehmensdaten mit DATAstream"},"content":{"rendered":"<section id=\"hero-6a5846485752d\"\n         class=\"centered-hero d-flex align-items-center text-center centered-hero--no-cards\"\n         style=\"background-color:#0f2060;--hero-video-overlay:rgba(0,0,0,0.35)\">\n\n    \n    \n    \n    <div class=\"container py-5 hero-content\">\n        <div class=\"row justify-content-center\">\n            <div class=\"col-xl-12\">\n\n                \n                                            <p class=\"mb-3 kicker\" style=\"color:#ffffff\">\n                            Ressource | Fallstudie                        <\/p>\n                    \n                                            <h1 class=\"fw-bold display-3 mb-3 title\" style=\"color:#ffffff;max-width:750px;margin-left:auto;margin-right:auto\">\n                            Modernisierung klinischer Unternehmensdaten mit DATAstream                        <\/h1>\n                    \n                                            <p class=\"mb-5 mx-auto description\" style=\"margin-left:auto;margin-right:auto\">\n                            Wie ein einheitlicher klinischer Daten-Hub den manuellen Aufwand um 80 % reduzierte und nahezu Echtzeit-Transparenz f\u00fcr Studien lieferte                        <\/p>\n                    \n                    \n                    \n                \n            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n<section class=\"ss-resource-meta-bar ss-resource-meta-bar--align-center\" style=\"margin:0 0 30px 0;background-color:#ffffff\">\n    <div class=\"container\">\n        <div class=\"ss-resource-meta-bar__inner\" >\n            <div class=\"ss-resource-meta-bar__row\">\n\n                <!-- LEFT -->\n                <div class=\"ss-resource-meta-bar__left\">\n\n                    \n                        <div class=\"ss-resource-meta-bar__author\">\n\n                                                            <img\n                                    src=\"https:\/\/www.slipstreamls.com\/wp-content\/uploads\/2026\/02\/Keith-Anastasi.jpg\"\n                                    alt=\"Keith Anastasi\"\n                                    width=\"48\"\n                                    height=\"48\"\n                                    class=\"ss-resource-meta-bar__avatar\"\n                                    loading=\"lazy\"\n                                    decoding=\"async\"\n                                \/>\n                            \n                            <div class=\"ss-resource-meta-bar__author-info\">\n\n                                <div class=\"ss-resource-meta-bar__name\">\n                                    Keith Anastasi                                <\/div>\n\n                                \n                                \n                                <div class=\"ss-resource-meta-bar__date\">\n                                    Dezember 16, 2025                                <\/div>\n\n                            <\/div>\n                        <\/div>\n\n                    \n                <\/div>\n\n                <!-- RIGHT -->\n                <div class=\"ss-resource-meta-bar__right\">\n\n                                            <a class=\"ss-resource-meta-bar__share a2a_dd\"\n                           href=\"https:\/\/www.addtoany.com\/share\"\n                           data-a2a-url=\"https:\/\/www.slipstreamls.com\/de\/resources\/article-headline-would-use-sentence-case\/\"\n                           data-a2a-title=\"Modernisierung klinischer Unternehmensdaten mit DATAstream\"\n                           aria-label=\"Share\">\n                            <svg viewBox=\"0 0 24 24\" width=\"16\" height=\"16\" aria-hidden=\"true\">\n                                <path d=\"M18 8a3 3 0 1 0-2.83-4H15a3 3 0 0 0 .17 1l-7.2 4.1A3 3 0 0 0 6 8a3 3 0 1 0 1.97 5.26l7.2 4.1A3 3 0 0 0 15 19a3 3 0 1 0 .83-2.06l-7.2-4.1A3 3 0 0 0 9 11c0-.36-.06-.7-.17-1.02l7.2-4.1A3 3 0 0 0 18 8Z\"\n                                      fill=\"currentColor\"\/>\n                            <\/svg>\n                        <\/a>\n                    \n                    \n                                            <span class=\"ss-pill ss-pill--solid\">\n                            2 MIN READ                        <\/span>\n                    \n                    \n                    \n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\"><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:50%\">\n<h2 class=\"wp-block-heading\" id=\"h-challenge\">Herausforderung<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Die Fragmentierung klinischer Daten \u00fcber CROs, Systeme und Quellen hinweg f\u00fchrte zu operativen Engp\u00e4ssen. Klinische Daten stammten von mehreren Anbietern \u2013 EDC, RTSM, Imaging, bioanalytischen Laboren und Probenmanagement \u2013, die jeweils Daten in unterschiedlichen Formaten, Strukturen und Lieferfrequenzen bereitstellten. Dies f\u00fchrte zu:  <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Erheblicher Datenlatenz durch manuelle Aggregation aus unterschiedlichen Systemen<\/li>\n\n\n\n<li>Keinem standardisierten Datenmodell zur Unterst\u00fctzung studien\u00fcbergreifender Analysen oder Skalierbarkeit<\/li>\n\n\n\n<li>Inkonsistenter Validierung und eingeschr\u00e4nkter Nachverfolgbarkeit, was das nachgelagerte Risiko erh\u00f6hte<\/li>\n\n\n\n<li>Redundanter Datenverarbeitung \u00fcber Teams hinweg, was operative Ineffizienzen verursachte<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Ohne eine integrierte Grundlage fehlte den Teams die Echtzeit-Transparenz \u00fcber die Studienleistung und Kennzahlen auf Site-Ebene.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-solution\">L\u00f6sung<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Slipstream implementierte DATAstream<sup>TM<\/sup> Clinical, um die Aufnahme, Transformation und Bereitstellung aller klinischen Datens\u00e4tze zu zentralisieren, zu standardisieren und zu automatisieren. Die L\u00f6sung umfasste: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Azure Data Factory (ADF) &amp; Synapse Pipelines, orchestriert \u00fcber DATAstream\u2019s metadatengesteuertes Framework<\/li>\n\n\n\n<li>Azure Data Lake Gen2 f\u00fcr sichere, skalierbare Speicherung und Archivierung<\/li>\n\n\n\n<li>Synapse Data Warehouse, strukturiert nach DATAstream\u2019s Medallion-Architektur f\u00fcr Analysen und geregelten Zugriff<\/li>\n\n\n\n<li>Logic Apps f\u00fcr automatisiertes Monitoring, Alerts und Benachrichtigungen<\/li>\n\n\n\n<li>Power BI &amp; Power Apps f\u00fcr rollenbasierte Visualisierung und operative Dashboards<\/li>\n\n\n\n<li>DATAstream\u2019s Validierungs-Engine zur Sicherstellung standardisierter Aufnahme und Qualit\u00e4tskontrollen \u00fcber alle klinischen Quellen hinweg<\/li>\n<\/ul>\n\n\n\n<section class=\"ss-quote-highlight\" style=\"\">\n    <div class=\"container\">\n        <div class=\"ss-quote-highlight__inner\" style=\"\">\n\n            <figure class=\"ss-quote\" style=\"max-width:900px;line-height:130%;\">\n\n                <!-- OPEN QUOTE -->\n                <span class=\"ss-quote__mark ss-quote__mark--open\" aria-hidden=\"true\">\n                      <svg width=\"64\" height=\"51\" viewBox=\"0 0 64 51\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                        <path d=\"M27.7478 50.7013L0 50.7013L0 29.1228C0 25.3371 0.446343 21.7137 1.33903 18.2525C2.28132 14.7372 3.84353 11.6275 6.02566 8.92343C8.2078 6.21936 11.0595 4.0561 14.5806 2.43366C18.1514 0.811222 22.5405 0 27.7478 0L27.7478 13.953C24.7722 13.953 22.2925 14.3316 20.3087 15.0887C18.325 15.7918 16.738 16.8193 15.5477 18.1713C14.407 19.4693 13.5887 21.0377 13.0928 22.8764C12.5969 24.7152 12.3489 26.7973 12.3489 29.1228L12.3489 30.2585L27.7478 30.2585L27.7478 50.7013ZM64 50.7013L36.2522 50.7013L36.2522 29.1228C36.2522 25.3371 36.6985 21.7137 37.5912 18.2525C38.5335 14.7372 40.0957 11.6275 42.2779 8.92343C44.46 6.21936 47.3116 4.05611 50.8328 2.43367C54.4036 0.811224 58.7926 0 64 0L64 13.953C61.0244 13.953 58.5447 14.3316 56.5609 15.0887C54.6267 15.7918 53.0645 16.8193 51.8743 18.1713C50.684 19.4693 49.8409 21.0377 49.345 22.8764C48.849 24.7152 48.6011 26.7973 48.6011 29.1228L48.6011 30.2585L64 30.2585L64 50.7013Z\"\n                              fill=\"currentColor\"\/>\n                    <\/svg>\n                <\/span>\n\n                <!-- QUOTE TEXT -->\n                <blockquote class=\"ss-quote__text\">\n                    Die DATAstream Clinical-Plattform von Slipstream hat unser klinisches Daten\u00f6kosystem Ende-zu-Ende vereinheitlicht und Echtzeit-Transparenz, h\u00f6here Qualit\u00e4t und operative Effizienz \u00fcber alle Studien und Teams hinweg geliefert.                <\/blockquote>\n\n                <!-- CLOSE QUOTE -->\n                <span class=\"ss-quote__mark ss-quote__mark--close\" aria-hidden=\"true\">\n                 \n                    <svg width=\"64\" height=\"51\" viewBox=\"0 0 64 51\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                        <path d=\"M36.2522 0.000116734L64 0.000118256L64 21.5786C64 25.3643 63.5537 28.9877 62.661 32.4489C61.7187 35.9642 60.1565 39.0739 57.9743 41.778C55.7922 44.4821 52.9405 46.6453 49.4194 48.2678C45.8486 49.8902 41.4595 50.7014 36.2522 50.7014L36.2522 36.7484C39.2278 36.7484 41.7075 36.3698 43.6913 35.6127C45.675 34.9097 47.262 33.8821 48.4523 32.5301C49.593 31.2321 50.4113 29.6638 50.9072 27.825C51.4031 25.9862 51.6511 23.9041 51.6511 21.5786L51.6511 20.4429L36.2522 20.4429L36.2522 0.000116734ZM0 0.000114746L27.7478 0.000116268L27.7478 21.5786C27.7478 25.3643 27.3015 28.9877 26.4088 32.4489C25.4665 35.9642 23.9043 39.0739 21.7221 41.778C19.54 44.4821 16.6884 46.6453 13.1672 48.2678C9.59642 49.8902 5.20736 50.7014 0 50.7014L0 36.7484C2.97563 36.7484 5.45533 36.3698 7.43909 35.6127C9.37325 34.9096 10.9355 33.8821 12.1257 32.5301C13.316 31.2321 14.1591 29.6638 14.655 27.825C15.151 25.9862 15.3989 23.9041 15.3989 21.5786L15.3989 20.4429L0 20.4429L0 0.000114746Z\"\n                              fill=\"currentColor\"\/>\n                    <\/svg>\n                <\/span>\n\n            <\/figure>\n\n        <\/div>\n    <\/div>\n<\/section>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-results\">Ergebnisse<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Der Kunde reduzierte die manuelle Aggregation um 80 %, gewann nahezu Echtzeit-Transparenz \u00fcber Studien, verbesserte die Entscheidungsfindung durch konsistente Daten, st\u00e4rkte die Zusammenarbeit zwischen Teams und senkte die Kosten durch die Eliminierung redundanter Abstimmungen und Beschaffungen.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-highlights\">Highlights<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Der Kunde reduzierte die manuelle Aggregation um 80 %, gewann nahezu Echtzeit-Transparenz \u00fcber Studien, verbesserte die Entscheidungsfindung durch konsistente Daten, st\u00e4rkte die Zusammenarbeit zwischen Teams und senkte die Kosten durch die Eliminierung redundanter Abstimmungen und Beschaffungen.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:25%\"><\/div>\n<\/div>\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Herausforderung Die Fragmentierung klinischer Daten \u00fcber CROs, Systeme und Quellen hinweg f\u00fchrte zu operativen Engp\u00e4ssen. Klinische Daten stammten von mehreren Anbietern \u2013 EDC, RTSM, Imaging, bioanalytischen Laboren und Probenmanagement \u2013, die jeweils Daten in unterschiedlichen Formaten, Strukturen und Lieferfrequenzen bereitstellten. Dies f\u00fchrte zu: Ohne eine integrierte Grundlage fehlte den Teams die Echtzeit-Transparenz \u00fcber die Studienleistung [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":3702,"template":"","resource_type":[92],"business_need":[112],"service_type":[22],"topic":[156],"class_list":["post-3732","resource","type-resource","status-publish","has-post-thumbnail","hentry","resource_type-case-study-de","business_need-emerging-biotech-de","service_type-enterprise-data-warehouse-datastreamtm","topic-data-management-analytics-de"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.1 (Yoast SEO v27.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Modernisierung klinischer Unternehmensdaten mit DATAstream &#062; Slipstream LS<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.slipstreamls.com\/de\/resources\/article-headline-would-use-sentence-case\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Modernisierung klinischer Unternehmensdaten mit DATAstream\" \/>\n<meta property=\"og:description\" content=\"Herausforderung Die Fragmentierung klinischer Daten \u00fcber CROs, Systeme und Quellen hinweg f\u00fchrte zu operativen Engp\u00e4ssen. 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