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Fig. 1 | Critical Care

Fig. 1

From: Use of artificial intelligence in critical care: opportunities and obstacles

Fig. 1

The process of creating, testings, and launching an effective Clinical Decision Support System (CDSS) is multifaceted and ongoing. The interaction of multiple processes and involvement of various stakeholders along the way improve the likelihood of final adoption during real-world deployment (dashed vertical line). Importantly, as illustrated in this work flow diagram, is ongoing assessment refining models and information transfer options. At the start one uses a model card which is a short document that provides key information about a machine learning model. This is central to maintaining focus throughout the workflow cycle of CDSS development

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