{"id":5278,"date":"2026-03-23T13:29:28","date_gmt":"2026-03-23T13:29:28","guid":{"rendered":"https:\/\/datico.com\/?p=5278"},"modified":"2026-04-28T16:54:36","modified_gmt":"2026-04-28T16:54:36","slug":"oculus","status":"publish","type":"post","link":"https:\/\/datico.com\/en\/system-partner-news\/oculus\/","title":{"rendered":"OCULUS"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"5278\" class=\"elementor elementor-5278 elementor-5277\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6dc1915 e-flex e-con-boxed e-con e-parent\" data-id=\"6dc1915\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6906eb5 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"6906eb5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-118ea02 elementor-widget elementor-widget-text-editor\" data-id=\"118ea02\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Connection to the <sup>Datico\u00ae<\/sup> LIFE HUB<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a73ecdf elementor-widget elementor-widget-heading\" data-id=\"a73ecdf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">OCULUS<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b1d1cc2 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"b1d1cc2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5aaf869 elementor-widget elementor-widget-text-editor\" data-id=\"5aaf869\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4 data-section-id=\"1p5qw8j\" data-start=\"185\" data-end=\"258\">Oculus &amp; <sup>Datico\u00ae<\/sup><br>Visual field diagnostics as an end-to-end digital process<\/h4>\n<p data-start=\"260\" data-end=\"585\">With the integration of Oculus, <sup>Datico\u00ae<\/sup> is expanding its platform to include another key component of clinical diagnostics. Visual field measurement, which plays an important role in neurological and ophthalmological contexts, is not only connected, but also transferred to an end-to-end digital workflow. <\/p>\n<p data-start=\"587\" data-end=\"797\">The focus is not on the individual measurement, but on the question of how fragmented individual findings can be turned into consistent, processable overall findings &#8211; embedded in existing clinical processes.<\/p>\n<hr data-start=\"799\" data-end=\"802\">\n<h4 data-section-id=\"1esv01q\" data-start=\"804\" data-end=\"855\">When diagnostics meets fragmented systems<\/h4>\n<p data-start=\"857\" data-end=\"1080\">In practice, visual field measurements rarely provide a single result. Instead, several individual reports are generated within an examination context, each of which depicts different aspects of visual function. <\/p>\n<p data-start=\"1082\" data-end=\"1357\">These reports are typically available in separate documents, are generated in different systems and then have to be merged manually. This is precisely where media discontinuities, additional work and inconsistencies in the documentation arise. <\/p>\n<p data-start=\"1359\" data-end=\"1512\">The actual diagnostic quality often falls short of the possibilities because the context of the data is not used systematically.<\/p>\n<hr data-start=\"1514\" data-end=\"1517\">\n<h4 data-section-id=\"1e72q48\" data-start=\"1519\" data-end=\"1597\">Integration via Twinfield and GDT &#8211; embedded in the clinical workflow<\/h4>\n<p data-start=\"1599\" data-end=\"1831\">The technical integration follows an established clinical process. Patient data and case information are transferred via the GDT protocol to the Twinfield software, which serves as the central environment for Oculus diagnostics. <\/p>\n<p data-start=\"1833\" data-end=\"2020\">This is where the visual field measurement is carried out. The results are not generated as individual findings, but are provided as several reports within the system. <\/p>\n<p data-start=\"2022\" data-end=\"2228\">These reports are then transferred to <sup>Datico\u00ae<\/sup> and integrated into the <sup>Datico\u00ae<\/sup> LIFE HUB. The decisive factor here is that the data is not only stored, but also processed in a structured manner. <\/p>\n<hr data-start=\"2230\" data-end=\"2233\">\n<h4 data-section-id=\"1ixkt1\" data-start=\"2235\" data-end=\"2285\">From individual reports to consistent overall findings<\/h4>\n<p data-start=\"2287\" data-end=\"2508\">The real added value of the integration comes from the merging of the data. The individual PDF reports of the visual field measurement are automatically consolidated into an overall document and supplemented with additional content. <\/p>\n<p data-start=\"2510\" data-end=\"2773\"><sup>Datico\u00ae<\/sup> Smart Forms is used to generate a structured summary in which findings can be evaluated, commented on and placed in a clinical context. This creates a standardized, comprehensible overall finding from several isolated reports. <\/p>\n<p data-start=\"2775\" data-end=\"2970\">This overall report is then fed back into the HIS\/KISS system, where it is clearly assigned to a case. The diagnostics thus seamlessly become part of the existing documentation. <\/p>\n<hr data-start=\"2972\" data-end=\"2975\">\n<h4 data-section-id=\"1y7toe5\" data-start=\"2977\" data-end=\"3030\">Diagnostics becomes part of an integrated data logic<\/h4>\n<p data-start=\"3032\" data-end=\"3240\">The integration of Oculus changes the role of visual field diagnostics in the system. It is no longer a separate process with downstream documentation, but part of a consistent data logic. <\/p>\n<p data-start=\"3242\" data-end=\"3570\">Findings are structured, consolidated and immediately available in the right context for further use. Especially in neurological and rehabilitative settings, where progression and comparison are crucial, this integration creates a much better basis for assessment and treatment planning. <\/p>\n<hr data-start=\"3572\" data-end=\"3575\">\n<h4 data-section-id=\"x8o1ad\" data-start=\"3577\" data-end=\"3585\">Conclusion<\/h4>\n<p data-start=\"3587\" data-end=\"3723\">The integration of Oculus shows how specialized diagnostic systems can be integrated into an end-to-end digital process chain.<\/p>\n<p data-start=\"3725\" data-end=\"3965\">The combination of GDT-based transfer, structured integration of findings and automatic consolidation creates a workflow that is not only more efficient, but also improves the quality of documentation and evaluation.<\/p>\n<p data-start=\"3967\" data-end=\"4077\">This represents a further step towards integrated, data-based clinical care.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8b2d4fc elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"8b2d4fc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\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<div class=\"elementor-element elementor-element-0a57ba0 e-flex e-con-boxed e-con e-parent\" data-id=\"0a57ba0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a8677d2 elementor-widget elementor-widget-heading\" data-id=\"a8677d2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Questions about OCULUS connection<\/h2>\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<div class=\"elementor-element elementor-element-9d0d26e e-flex e-con-boxed e-con e-parent\" data-id=\"9d0d26e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c84b13a elementor-widget elementor-widget-n-accordion\" data-id=\"c84b13a\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;all_collapsed&quot;,&quot;max_items_expended&quot;:&quot;one&quot;,&quot;n_accordion_animation_duration&quot;:{&quot;unit&quot;:&quot;ms&quot;,&quot;size&quot;:400,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"e-n-accordion\" aria-label=\"Accordion. Open links with Enter or Space, close with Escape, and navigate with Arrow Keys\">\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2100\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2100\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> How does the integration of Oculus visual field measurement actually work in everyday clinical practice? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2100\" class=\"elementor-element elementor-element-481a27c e-con-full e-flex e-con e-child\" data-id=\"481a27c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3d7c298 elementor-widget elementor-widget-text-editor\" data-id=\"3d7c298\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-start=\"2990\" data-end=\"3197\">The integration follows the existing workflow. Patient data and case information are transferred from the HIS\/KISS system to the Twinfield software via the GDT protocol. The visual field measurement is performed there. The resulting reports are then automatically transferred to the <sup>Datico\u00ae<\/sup> LIFE HUB, processed further and returned to the clinical system as consolidated overall findings.   <\/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<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2101\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2101\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Which data or documents are transferred from the visual field measurement? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2101\" class=\"elementor-element elementor-element-4e2d745 e-con-full e-flex e-con e-child\" data-id=\"4e2d745\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b55c68a elementor-widget elementor-widget-text-editor\" data-id=\"b55c68a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-start=\"3555\" data-end=\"3800\">The visual field measurement typically generates several individual reports, usually in the form of PDF files. These are transferred in their entirety, merged in the <sup>Datico\u00ae<\/sup> LIFE HUB and stored in a structured manner as a consistent overall report. It is therefore not about individual measured values, but about the integration of complete diagnostic reports.  <\/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<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2102\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2102\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What happens to the individual reports after they have been transferred to <sup>Datico\u00ae<\/sup>? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2102\" class=\"elementor-element elementor-element-c2bf26a e-con-full e-flex e-con e-child\" data-id=\"c2bf26a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-be18c4a elementor-widget elementor-widget-text-editor\" data-id=\"be18c4a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-start=\"5042\" data-end=\"5457\">The individual PDF reports are automatically merged into an overall document. In addition, a structured summary is added via <sup>Datico\u00ae<\/sup> Smart Forms, in which central findings are evaluated and contextualized. This creates a standardized, clinically usable overall report instead of several isolated documents.  <\/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<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2103\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2103\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Can the findings be further supplemented or adjusted in the <sup>Datico\u00ae<\/sup> LIFE HUB? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2103\" class=\"elementor-element elementor-element-3ac1a88 e-con-full e-flex e-con e-child\" data-id=\"3ac1a88\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a543149 elementor-widget elementor-widget-text-editor\" data-id=\"a543149\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"flex flex-col text-sm pb-25\">\n<article class=\"text-token-text-primary w-full focus:outline-none [--shadow-height:45px] has-data-writing-block:pointer-events-none has-data-writing-block:-mt-(--shadow-height) has-data-writing-block:pt-(--shadow-height) [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-69b12251-eea8-8394-ab81-11cbc0be7473-3\" data-testid=\"conversation-turn-20\" data-scroll-anchor=\"true\" data-turn=\"assistant\">\n<div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"9fec7725-bae5-415a-864b-e5ff9c353a97\" data-message-model-slug=\"gpt-5-3\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling\">\n<p data-start=\"5072\" data-end=\"5238\">Yes, a key advantage of the integration is the ability to expand the transferred findings. Structured input masks can be used to add additional information, assessments or comments before the final report is transferred back to the HIS\/KISS system.  <\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<\/div>\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<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2104\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"5\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2104\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> How is it ensured that the final report is correctly returned to the clinical system? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2104\" class=\"elementor-element elementor-element-f4901f1 e-flex e-con-boxed e-con e-child\" data-id=\"f4901f1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8fc4118 elementor-widget elementor-widget-text-editor\" data-id=\"8fc4118\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The retransfer is structured using the existing case and order logic. The consolidated overall report is clearly assigned to a patient and an examination and stored in the HIS\/KISS system as part of the regular documentation. <\/p>\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\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2105\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"6\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2105\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What is the main difference to previous solutions in visual field diagnostics? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2105\" class=\"elementor-element elementor-element-b4ded93 e-flex e-con-boxed e-con e-child\" data-id=\"b4ded93\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4993404 elementor-widget elementor-widget-text-editor\" data-id=\"4993404\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"flex flex-col text-sm pb-25\">\n<article class=\"text-token-text-primary w-full focus:outline-none [--shadow-height:45px] has-data-writing-block:pointer-events-none has-data-writing-block:-mt-(--shadow-height) has-data-writing-block:pt-(--shadow-height) [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-69b12251-eea8-8394-ab81-11cbc0be7473-3\" data-testid=\"conversation-turn-20\" data-scroll-anchor=\"true\" data-turn=\"assistant\">\n<div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"9fec7725-bae5-415a-864b-e5ff9c353a97\" data-message-model-slug=\"gpt-5-3\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling\">\n<p data-start=\"6193\" data-end=\"6600\">In traditional setups, the individual reports often remain fragmented and have to be merged manually. With <sup>Datico\u00ae<\/sup>, the overall findings are generated automatically and in a structured manner within one system. This reduces manual effort and at the same time improves the consistency and traceability of the diagnostics.  <\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<\/div>\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\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2106\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"7\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2106\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> For which institutions is this integration particularly relevant? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2106\" class=\"elementor-element elementor-element-76ab0c0 e-flex e-con-boxed e-con e-child\" data-id=\"76ab0c0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9ee4acd elementor-widget elementor-widget-text-editor\" data-id=\"9ee4acd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"flex flex-col text-sm pb-25\">\n<article class=\"text-token-text-primary w-full focus:outline-none [--shadow-height:45px] has-data-writing-block:pointer-events-none has-data-writing-block:-mt-(--shadow-height) has-data-writing-block:pt-(--shadow-height) [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-69b12251-eea8-8394-ab81-11cbc0be7473-3\" data-testid=\"conversation-turn-20\" data-scroll-anchor=\"true\" data-turn=\"assistant\">\n<div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"9fec7725-bae5-415a-864b-e5ff9c353a97\" data-message-model-slug=\"gpt-5-3\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling\">\n<p data-start=\"6193\" data-end=\"6600\">In traditional setups, the individual reports often remain fragmented and have to be merged manually. With <sup>Datico\u00ae<\/sup>, the overall findings are generated automatically and in a structured manner within one system. This reduces manual effort and at the same time improves the consistency and traceability of the diagnostics.  <\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<\/div>\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\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"How does the integration of Oculus visual field measurement actually work in everyday clinical practice?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The integration follows the existing workflow. Patient data and case information are transferred from the HIS\\\/KISS system to the Twinfield software via the GDT protocol. The visual field measurement is performed there. The resulting reports are then automatically transferred to the Datico\\u00ae LIFE HUB, processed further and returned to the clinical system as consolidated overall findings.\"}},{\"@type\":\"Question\",\"name\":\"Which data or documents are transferred from the visual field measurement?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The visual field measurement typically generates several individual reports, usually in the form of PDF files. These are transferred in their entirety, merged in the Datico\\u00ae LIFE HUB and stored in a structured manner as a consistent overall report. It is therefore not about individual measured values, but about the integration of complete diagnostic reports.\"}},{\"@type\":\"Question\",\"name\":\"What happens to the individual reports after they have been transferred to Datico\\u00ae?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The individual PDF reports are automatically merged into an overall document. In addition, a structured summary is added via Datico\\u00ae Smart Forms, in which central findings are evaluated and contextualized. This creates a standardized, clinically usable overall report instead of several isolated documents.\"}},{\"@type\":\"Question\",\"name\":\"Can the findings be further supplemented or adjusted in the Datico\\u00ae LIFE HUB?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes, a key advantage of the integration is the ability to expand the transferred findings. Structured input masks can be used to add additional information, assessments or comments before the final report is transferred back to the HIS\\\/KISS system.\"}},{\"@type\":\"Question\",\"name\":\"How is it ensured that the final report is correctly returned to the clinical system?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The retransfer is structured using the existing case and order logic. The consolidated overall report is clearly assigned to a patient and an examination and stored in the HIS\\\/KISS system as part of the regular documentation.\"}},{\"@type\":\"Question\",\"name\":\"What is the main difference to previous solutions in visual field diagnostics?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"In traditional setups, the individual reports often remain fragmented and have to be merged manually. With Datico\\u00ae, the overall findings are generated automatically and in a structured manner within one system. This reduces manual effort and at the same time improves the consistency and traceability of the diagnostics.\"}},{\"@type\":\"Question\",\"name\":\"For which institutions is this integration particularly relevant?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"In traditional setups, the individual reports often remain fragmented and have to be merged manually. With Datico\\u00ae, the overall findings are generated automatically and in a structured manner within one system. This reduces manual effort and at the same time improves the consistency and traceability of the diagnostics.\"}}]}<\/script>\n\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\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Connection to the Datico\u00ae LIFE HUB OCULUS Oculus &amp; Datico\u00aeVisual field diagnostics as an end-to-end digital process With the integration of Oculus, Datico\u00ae is expanding its platform to include another key component of clinical diagnostics. Visual field measurement, which plays an important role in neurological and ophthalmological contexts, is not only connected, but also transferred&hellip;&nbsp;<a href=\"https:\/\/datico.com\/en\/system-partner-news\/oculus\/\" rel=\"bookmark\">Read More &raquo;<span class=\"screen-reader-text\">OCULUS<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":6392,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_angie_page":false,"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","page_builder":"","footnotes":""},"categories":[38],"tags":[],"class_list":["post-5278","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-system-partner-news"],"_links":{"self":[{"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/posts\/5278","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/comments?post=5278"}],"version-history":[{"count":1,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/posts\/5278\/revisions"}],"predecessor-version":[{"id":7853,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/posts\/5278\/revisions\/7853"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/media\/6392"}],"wp:attachment":[{"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/media?parent=5278"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/categories?post=5278"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/tags?post=5278"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}