{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T11:36:45Z","timestamp":1769168205713,"version":"3.49.0"},"reference-count":31,"publisher":"Oxford University Press (OUP)","issue":"7","license":[{"start":{"date-parts":[[2022,5,13]],"date-time":"2022-05-13T00:00:00Z","timestamp":1652400000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"ICU Cockpit research platform was supported by the Swiss National Science Foundation","award":["325230_200568"],"award-info":[{"award-number":["325230_200568"]}]},{"name":"ICU Cockpit research platform was supported by the Swiss National Science Foundation","award":["52441.1"],"award-info":[{"award-number":["52441.1"]}]},{"name":"IP-LS"},{"name":"Vontobel"},{"name":"Helmut Horten"},{"name":"Gebert-R\u00fcf-"},{"name":"Herzog Egli-"},{"name":"Hasler-"},{"name":"USZ Foundations"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,14]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>ICU Cockpit: a secure, fast, and scalable platform for collecting multimodal waveform data, online and historical data visualization, and online validation of algorithms in the intensive care unit. We present a network of software services that continuously stream waveforms from ICU beds to databases and a web-based user interface. Machine learning algorithms process the data streams and send outputs to the user interface. The architecture and capabilities of the platform are described. Since 2016, the platform has processed over 89 billion data points (N\u2009=\u2009979 patients) from 200 signals (0.5\u2013500\u00a0Hz) and laboratory analyses (once a day). We present an infrastructure-based framework for deploying and validating algorithms for critical care. The ICU Cockpit is a Big Data platform for critical care medicine, especially for multimodal waveform data. Uniquely, it allows algorithms to seamlessly integrate into the live data stream to produce clinical decision support and predictions in clinical practice.<\/jats:p>","DOI":"10.1093\/jamia\/ocac064","type":"journal-article","created":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T19:16:16Z","timestamp":1650482176000},"page":"1286-1291","source":"Crossref","is-referenced-by-count":20,"title":["ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit"],"prefix":"10.1093","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8043-0961","authenticated-orcid":false,"given":"Jens Michael","family":"Boss","sequence":"first","affiliation":[{"name":"Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care Medicine, University Hospital Zurich , Zurich, 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