{"id":50278,"date":"2023-06-21T16:34:40","date_gmt":"2023-06-21T14:34:40","guid":{"rendered":"https:\/\/xitaso.com\/projects\/kisik-intelligente-steuerung-von-intensivkapazitaeten\/"},"modified":"2026-04-07T11:42:03","modified_gmt":"2026-04-07T09:42:03","slug":"kisik","status":"publish","type":"page","link":"https:\/\/xitaso.com\/en\/projects\/kisik\/","title":{"rendered":"KISIK: Intelligent planning of ICU resources"},"content":{"rendered":"

[vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”header_level2_container”][vc_column][vc_row_inner row_type=”row” type=”full_width” text_align=”left” css_animation=”” css=”.vc_custom_1723639848780{background-image: url(https:\/\/xitaso.com\/wp-content\/uploads\/ResearchandInnovation-Intensivbettkapazitaeten-1.jpg?id=41994) !important;}”][vc_column_inner offset=”vc_hidden-xs”][vc_empty_space height=”500″][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=”row” type=”full_width” text_align=”left” css_animation=””][vc_column_inner offset=”vc_hidden-lg vc_hidden-md vc_hidden-sm”][vc_single_image image=”42020″ img_size=”full” css=”” qode_css_animation=””][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner][vc_raw_html css=””]JTNDZGl2JTIwY2xhc3MlM0QlMjJoZWFkZXJfbGV2ZWwyJTIyJTNFJTBBJTNDZGl2JTIwY2xhc3MlM0QlMjJ0b3BwZXIlMjIlM0VBSSUyNk9wdGltaXphdGlvbiUzQyUyRmRpdiUzRSUwQSUzQ2gxJTNFSW50ZWxsaWdlbnQlMjBwbGFubmluZyUyMG9mJTIwSUNVJTIwcmVzb3VyY2VzJTNDJTJGaDElM0UlMEElM0MlMkZkaXYlM0UlMEElMEE=[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” css=”.vc_custom_1723640019745{background-color: #e8e0e0 !important;}” z_index=””][vc_column][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner width=”1\/2″][vc_empty_space height=”60″][vc_column_text css=””]<\/p>\n

The challenge<\/h2>\n

The management of intensive care units has a significant influence on the healing process of patients. However, the capacities of intensive care units are very limited due to the high care and staffing requirements. Unforeseeable emergencies that have to be treated alongside patients with planned operations and an uncertain length of stay complicate the management of intensive care capacities. The coordinators responsible for an intensive care unit must establish a dynamic strategy for the admission and transfer of patients under constantly changing conditions in order to provide intensive medical treatment to as many critically ill patients as possible.<\/p>\n

[\/vc_column_text][vc_empty_space height=”30″][vc_empty_space height=”30″][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_empty_space height=”30″ el_class=”not-on-mobile”][vc_empty_space height=”30″][vc_column_text css=””]<\/p>\n

How we will help<\/h2>\n

In the KISIK project, XITASO is working with partners from Augsburg University Hospital and the University of Augsburg on how artificial intelligence and, in particular, predictions about the length of stay and the probability of readmission of patients can facilitate the decisions of intensive care coordinators. We embed the AI predictions in a decision support system, which we then examine for applicability, acceptance and effectiveness in hospital operations. In doing so, we pay particular attention to the explainability of the forecasts (XAI), their visualization and the user-friendliness of the overall system. In this context, XITASO contributes its proven expertise in innovative software engineering with agile development methods, particularly in the healthcare sector.[\/vc_column_text][vc_empty_space height=”30″][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner][vc_column_text css=””]<\/p>\n

Technologies<\/h2>\n

[\/vc_column_text][vc_empty_space height=”15″][vc_raw_html css=””]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[\/vc_raw_html][vc_empty_space height=”60″][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=””][vc_column][vc_empty_space height=”30″ el_class=”not-on-mobile”][vc_empty_space height=”50″][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”two-column-icon-and-text”][vc_column][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner width=”1\/2″][vc_column_text css=”” el_class=”text_max_750″]<\/p>\n

The research project in detail<\/h2>\n

[\/vc_column_text][vc_empty_space height=”20px”][vc_column_text css=””]<\/p>\n

The aim of the KISIK project is to support ICU coordinators in their complex decisions in everyday clinical practice and thus ensure optimal patient care. This is intended to optimize the utilization of the ICU and reduce the number of operations postponed at short notice and premature transfers.<\/p>\n

To this end, XITASO and the project partners are developing AI-based algorithms to support decision-making in the management of intensive care capacities, for example to predict the need for intensive care, the length of stay and the probability of readmission.<\/p>\n

[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_empty_space height=”45px”][vc_column_text css=””]XITASO is particularly interested in the explainability of the system: doctors need transparency in how the system arrived at its predictions in order to create trust on the one hand and to be able to contribute their own medical expertise to the decision-making process on the other. We are therefore working in particular on metrics that we can use to explain the predictions of the AI models (Explainable AI, XAI) and on the visualization of these explanations. The latter pose a particular challenge, as they have to be understood quickly and intuitively by users in the stressful day-to-day hospital environment. Explainability is made more difficult by the fact that the prognoses are often based on complex correlations between the patient’s vital data over a certain period of time. Accordingly, we are researching how the explainability of prognoses can be ensured under these circumstances and are thus making an important contribution to establishing AI-based decision support in everyday clinical practice.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=””][vc_column][vc_empty_space height=”30″ el_class=”not-on-mobile”][vc_empty_space height=”50″][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”two-column-icon-and-text” side_padding=”ausgeblendet”][vc_column][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner width=”1\/2″][vc_column_text css=”” el_class=”text_max_750″]<\/p>\n

The KISIK demonstrator<\/h3>\n

[\/vc_column_text][vc_empty_space height=”20px”][vc_column_text css=””]<\/p>\n

Doctors in the intensive care unit must be able to see relevant information at a glance. This includes the diagnosis, age and length of the previous stay, as well as the predictions developed in the research project regarding the remaining length of stay and the probability of readmission.<\/p>\n

[\/vc_column_text][vc_column_text css=””]Our first draft of the KISIK demonstrator shows the possibilities of the user interface on a tablet.<\/p>\n

Based on ideation and usability workshops on the requirements of ICU employees, we have designed a demonstrator with a wide range of functions and options for individual customization.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_empty_space height=”45px”][vc_single_image image=”42016″ img_size=”full” qode_css_animation=””][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=””][vc_column][vc_empty_space height=”30″ el_class=”not-on-mobile”][vc_empty_space height=”50″][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”row-image-mobile-full-width”][vc_column][vc_empty_space height=”60″][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner][vc_column_text css=””]<\/p>\n

Project participants and funding<\/h2>\n

[\/vc_column_text][vc_empty_space height=”30″][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner][vc_column_text css=””]<\/p>\n

Project partners<\/h3>\n

[\/vc_column_text][vc_empty_space height=”15″][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner width=”1\/2″][vc_single_image image=”42956″ img_size=”medium” css=”” qode_css_animation=””][vc_empty_space height=”30″][vc_column_text css=””]University Augsburg
\n<\/strong>Research and teaching at the University of Augsburg<\/a> (Prof. Brunner and Prof. Schiffels) focuses on the planning and analysis of strategic and operational service processes in the healthcare sector, particularly in hospitals. The focus is on modelling, analyzing and optimizing practical problems using quantitative methods. Central questions deal with process, resource, quality and information management. The University of Augsburg’s role in the project is to contribute its own expertise in the areas of machine learning and optimization.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image image=”42845″ img_size=”medium” css=”” qode_css_animation=””][vc_empty_space height=”30″][vc_column_text css=””]Augsburg University Hospital<\/strong>
\nAugsburg University Hospital<\/a> is the only maximum care hospital in Bavarian Swabia and one of the largest hospitals in Germany with around 1750 beds. The UKA is a practice partner in the project and thus establishes the link to the clinical setting. The UKA’s task is to comprehensively validate the AI-based prognosis and optimization procedures and to test their applicability, acceptance, and effectiveness for practical use in intensive care medicine.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=”10″ el_class=”not-on-mobile”][vc_empty_space height=”40″][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”row-image-mobile-full-width”][vc_column][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner width=”1\/3″][vc_column_text css=””]<\/p>\n

Project sponsor<\/h3>\n

[\/vc_column_text][vc_empty_space height=”15″][vc_column_text css=””]Federal Ministry of Research, Technology and Space[\/vc_column_text][vc_empty_space height=”15″][vc_single_image image=”87158″ img_size=”full” css=”” qode_css_animation=””][vc_empty_space height=”15″][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_column_text css=””]<\/p>\n

Funding program<\/h3>\n

[\/vc_column_text][vc_empty_space height=”15″][vc_column_text css=””]AI-based assistance systems for in-process healthcare applications<\/a>[\/vc_column_text][vc_empty_space height=”15″ el_class=”only-on-mobile”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_column_text css=””]<\/p>\n

Project management<\/h3>\n

[\/vc_column_text][vc_empty_space height=”15″][vc_column_text]VDI\/VDE Innovation + Technik GmbH<\/span>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=”60″][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=””][vc_column][vc_empty_space height=”40px” el_class=”not-on-mobile”][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” css=”.vc_custom_1723640232929{background-color: #e8e0e0 !important;}”][vc_column][vc_empty_space height=”40px”][vc_column_text css=””]<\/p>\n

Interested in helping with our research projects?<\/h2>\n

[\/vc_column_text][vc_empty_space height=”15px”][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” css=”.vc_custom_1723639053696{background-color: #e8e0e0 !important;}”][vc_column width=”1\/6″][\/vc_column][vc_column width=”2\/3″][vc_column_text css=””]With research and innovation projects, we explore the potential of tomorrow\u2019s technologies. For this purpose, we are always looking for committed colleagues who would like to continue and shape the XITASO path with us.[\/vc_column_text][vc_empty_space height=”15″][vc_column_text css=””]<\/p>\n

Show all job offers<\/a><\/p>\n

[\/vc_column_text][vc_empty_space height=”40″][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=””][vc_column][vc_empty_space height=”30″ el_class=”only-on-mobile”][vc_empty_space height=”40″ el_class=”not-on-mobile”][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=””][vc_column][vc_empty_space height=”50″][vc_column_text css=””]<\/p>\n

Further projects<\/h2>\n

[\/vc_column_text][vc_empty_space height=”40″][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”three-column-references”][vc_column][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner width=”1\/3″][vc_raw_html css=””]JTNDYSUyMGhyZWYlM0QlMjIlMkZlbiUyRnByb2plY3RzJTJGa2lzcHAtaW50ZWxsaWdlbnQtc2NoZWR1bGluZy1vZi1udXJzaW5nLXN0YWZmJTJGJTIyJTNF[\/vc_raw_html][vc_empty_space height=”250″ image_repeat=”no-repeat” background_image=”38817″][vc_column_text css=””]<\/p>\n

Research project KISPP<\/div>\n

Intelligent scheduling of nursing staff<\/h3>\n

[\/vc_column_text][vc_raw_html]JTNDJTJGYSUzRQ==[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_raw_html css=””]JTNDYSUyMGhyZWYlM0QlMjIlMkZlbiUyRnByb2plY3RzJTJGa2xpbmlrdW0tcmVjaHRzLWRlci1pc2FyLW1yaS1mbGV4cGxhbiUyRiUyMiUzRSUwQQ==[\/vc_raw_html][vc_empty_space height=”250″ image_repeat=”no-repeat” background_image=”19561″][vc_column_text css=””]<\/p>\n

Klinikum Rechts der Isar (MRI)<\/div>\n

Automated duty and schedule planning<\/h3>\n

[\/vc_column_text][vc_raw_html]JTNDJTJGYSUzRQ==[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_raw_html]JTNDYSUyMGhyZWYlM0QlMjIlMkZwcm9qZWt0ZSUyRmlmYXAtYXBwLWFyem5laS1ha3R1ZWxsJTJGJTJGJTIyJTNF[\/vc_raw_html][vc_empty_space height=”250″ image_repeat=”no-repeat” background_image=”35629″][vc_column_text css=””]<\/p>\n

ifap<\/div>\n

New development of the Arznei aktuell app<\/h3>\n

[\/vc_column_text][vc_raw_html]JTNDJTJGYSUzRQ==[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=””][vc_column][vc_empty_space height=”30″][vc_column_text css=””]<\/p>\n

View all projects<\/a><\/p>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=””][vc_column][vc_empty_space height=”50″ el_class=”not-on-mobile”][vc_empty_space height=”50″][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”your-contact-person” css=”.vc_custom_1723639071826{background-color: #e8e0e0 !important;}”][vc_column][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner][vc_column_text css=””]<\/p>\n

Are you interested in a project, a service or do you have any other question?<\/h2>\n

[\/vc_column_text][vc_single_image image=”39950″ img_size=”full” alignment=”center” qode_css_animation=””][vc_column_text css=””]<\/p>\n

Dr. Jan-Philipp Stegh\u00f6fer<\/b><\/p>\n

Tel. +49 821 885 882 374
\njan-philipp.steghoefer@xitaso.com<\/a><\/p>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

[vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=”” el_class=”header_level2_container”][vc_column][vc_row_inner row_type=”row” type=”full_width” text_align=”left” css_animation=”” css=”.vc_custom_1723639848780{background-image: url(https:\/\/xitaso.com\/wp-content\/uploads\/ResearchandInnovation-Intensivbettkapazitaeten-1.jpg?id=41994) !important;}”][vc_column_inner offset=”vc_hidden-xs”][vc_empty_space height=”500″][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=”row” type=”full_width” text_align=”left” css_animation=””][vc_column_inner offset=”vc_hidden-lg vc_hidden-md vc_hidden-sm”][vc_single_image image=”42020″ img_size=”full” css=”” qode_css_animation=””][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=”row” type=”grid” text_align=”left” css_animation=””][vc_column_inner][vc_raw_html css=””]JTNDZGl2JTIwY2xhc3MlM0QlMjJoZWFkZXJfbGV2ZWwyJTIyJTNFJTBBJTNDZGl2JTIwY2xhc3MlM0QlMjJ0b3BwZXIlMjIlM0VBSSUyNk9wdGltaXphdGlvbiUzQyUyRmRpdiUzRSUwQSUzQ2gxJTNFSW50ZWxsaWdlbnQlMjBwbGFubmluZyUyMG9mJTIwSUNVJTIwcmVzb3VyY2VzJTNDJTJGaDElM0UlMEElM0MlMkZkaXYlM0UlMEElMEE=[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” css=”.vc_custom_1723640019745{background-color: #e8e0e0 !important;}”…<\/p>\n","protected":false},"author":13,"featured_media":38918,"parent":22122,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"full_width.php","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-50278","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nKISIK: Intelligent planning of ICU resources<\/title>\n<meta name=\"description\" content=\"Using AI-based algorithms to plan intensive care capacities simply and efficiently.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/xitaso.com\/en\/projects\/kisik\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"KISIK: Intelligent planning of ICU resources\" \/>\n<meta property=\"og:description\" content=\"Using AI-based algorithms to plan intensive care capacities simply and efficiently.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/xitaso.com\/en\/projects\/kisik\/\" \/>\n<meta property=\"og:site_name\" content=\"XITASO\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/XITASOGmbH\/\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-07T09:42:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/xitaso.com\/wp-content\/uploads\/ResearchandInnovation-Intensivbettkapazitaeten.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"485\" \/>\n\t<meta property=\"og:image:height\" content=\"335\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@xitasogmbh\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"9 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/xitaso.com\\\/en\\\/projects\\\/kisik\\\/\",\"url\":\"https:\\\/\\\/xitaso.com\\\/en\\\/projects\\\/kisik\\\/\",\"name\":\"KISIK: Intelligent planning of ICU resources\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/xitaso.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/xitaso.com\\\/en\\\/projects\\\/kisik\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/xitaso.com\\\/en\\\/projects\\\/kisik\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/xitaso.com\\\/wp-content\\\/uploads\\\/ResearchandInnovation-Intensivbettkapazitaeten.jpg\",\"datePublished\":\"2023-06-21T14:34:40+00:00\",\"dateModified\":\"2026-04-07T09:42:03+00:00\",\"description\":\"Using AI-based algorithms to plan intensive care capacities simply and efficiently.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/xitaso.com\\\/en\\\/projects\\\/kisik\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/xitaso.com\\\/en\\\/projects\\\/kisik\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/xitaso.com\\\/en\\\/projects\\\/kisik\\\/#primaryimage\",\"url\":\"https:\\\/\\\/xitaso.com\\\/wp-content\\\/uploads\\\/ResearchandInnovation-Intensivbettkapazitaeten.jpg\",\"contentUrl\":\"https:\\\/\\\/xitaso.com\\\/wp-content\\\/uploads\\\/ResearchandInnovation-Intensivbettkapazitaeten.jpg\",\"width\":485,\"height\":335},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/xitaso.com\\\/en\\\/projects\\\/kisik\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Startseite\",\"item\":\"https:\\\/\\\/xitaso.com\\\/en\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Projects\",\"item\":\"https:\\\/\\\/xitaso.com\\\/en\\\/projects\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"KISIK: Intelligent planning of ICU resources\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/xitaso.com\\\/#website\",\"url\":\"https:\\\/\\\/xitaso.com\\\/\",\"name\":\"XITASO\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/xitaso.com\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/xitaso.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/xitaso.com\\\/#organization\",\"name\":\"XITASO GmbH\",\"url\":\"https:\\\/\\\/xitaso.com\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/xitaso.com\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/xitaso.com\\\/wp-content\\\/uploads\\\/XITASO-Logo-quer.png\",\"contentUrl\":\"https:\\\/\\\/xitaso.com\\\/wp-content\\\/uploads\\\/XITASO-Logo-quer.png\",\"width\":1746,\"height\":438,\"caption\":\"XITASO GmbH\"},\"image\":{\"@id\":\"https:\\\/\\\/xitaso.com\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/XITASOGmbH\\\/\",\"https:\\\/\\\/x.com\\\/xitasogmbh\",\"https:\\\/\\\/www.linkedin.com\\\/organization-guest\\\/company\\\/xitasogmbh\",\"https:\\\/\\\/www.youtube.com\\\/channel\\\/UCQ4Qjq-Pr58NjGVLryNEuyA\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"KISIK: Intelligent planning of ICU resources","description":"Using AI-based algorithms to plan intensive care capacities simply and efficiently.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/xitaso.com\/en\/projects\/kisik\/","og_locale":"en_US","og_type":"article","og_title":"KISIK: Intelligent planning of ICU resources","og_description":"Using AI-based algorithms to plan intensive care capacities simply and efficiently.","og_url":"https:\/\/xitaso.com\/en\/projects\/kisik\/","og_site_name":"XITASO","article_publisher":"https:\/\/www.facebook.com\/XITASOGmbH\/","article_modified_time":"2026-04-07T09:42:03+00:00","og_image":[{"width":485,"height":335,"url":"https:\/\/xitaso.com\/wp-content\/uploads\/ResearchandInnovation-Intensivbettkapazitaeten.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_site":"@xitasogmbh","twitter_misc":{"Est. reading time":"9 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/xitaso.com\/en\/projects\/kisik\/","url":"https:\/\/xitaso.com\/en\/projects\/kisik\/","name":"KISIK: Intelligent planning of ICU resources","isPartOf":{"@id":"https:\/\/xitaso.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/xitaso.com\/en\/projects\/kisik\/#primaryimage"},"image":{"@id":"https:\/\/xitaso.com\/en\/projects\/kisik\/#primaryimage"},"thumbnailUrl":"https:\/\/xitaso.com\/wp-content\/uploads\/ResearchandInnovation-Intensivbettkapazitaeten.jpg","datePublished":"2023-06-21T14:34:40+00:00","dateModified":"2026-04-07T09:42:03+00:00","description":"Using AI-based algorithms to plan intensive care capacities simply and efficiently.","breadcrumb":{"@id":"https:\/\/xitaso.com\/en\/projects\/kisik\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/xitaso.com\/en\/projects\/kisik\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/xitaso.com\/en\/projects\/kisik\/#primaryimage","url":"https:\/\/xitaso.com\/wp-content\/uploads\/ResearchandInnovation-Intensivbettkapazitaeten.jpg","contentUrl":"https:\/\/xitaso.com\/wp-content\/uploads\/ResearchandInnovation-Intensivbettkapazitaeten.jpg","width":485,"height":335},{"@type":"BreadcrumbList","@id":"https:\/\/xitaso.com\/en\/projects\/kisik\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Startseite","item":"https:\/\/xitaso.com\/en\/"},{"@type":"ListItem","position":2,"name":"Projects","item":"https:\/\/xitaso.com\/en\/projects\/"},{"@type":"ListItem","position":3,"name":"KISIK: Intelligent planning of ICU resources"}]},{"@type":"WebSite","@id":"https:\/\/xitaso.com\/#website","url":"https:\/\/xitaso.com\/","name":"XITASO","description":"","publisher":{"@id":"https:\/\/xitaso.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/xitaso.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/xitaso.com\/#organization","name":"XITASO GmbH","url":"https:\/\/xitaso.com\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/xitaso.com\/#\/schema\/logo\/image\/","url":"https:\/\/xitaso.com\/wp-content\/uploads\/XITASO-Logo-quer.png","contentUrl":"https:\/\/xitaso.com\/wp-content\/uploads\/XITASO-Logo-quer.png","width":1746,"height":438,"caption":"XITASO GmbH"},"image":{"@id":"https:\/\/xitaso.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/XITASOGmbH\/","https:\/\/x.com\/xitasogmbh","https:\/\/www.linkedin.com\/organization-guest\/company\/xitasogmbh","https:\/\/www.youtube.com\/channel\/UCQ4Qjq-Pr58NjGVLryNEuyA"]}]}},"_links":{"self":[{"href":"https:\/\/xitaso.com\/en\/wp-json\/wp\/v2\/pages\/50278","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/xitaso.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/xitaso.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/xitaso.com\/en\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/xitaso.com\/en\/wp-json\/wp\/v2\/comments?post=50278"}],"version-history":[{"count":1,"href":"https:\/\/xitaso.com\/en\/wp-json\/wp\/v2\/pages\/50278\/revisions"}],"predecessor-version":[{"id":101835,"href":"https:\/\/xitaso.com\/en\/wp-json\/wp\/v2\/pages\/50278\/revisions\/101835"}],"up":[{"embeddable":true,"href":"https:\/\/xitaso.com\/en\/wp-json\/wp\/v2\/pages\/22122"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/xitaso.com\/en\/wp-json\/wp\/v2\/media\/38918"}],"wp:attachment":[{"href":"https:\/\/xitaso.com\/en\/wp-json\/wp\/v2\/media?parent=50278"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}