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This research study examines the intensive care unit (ICU) clinical decision support solutions (CDSS) industry in the United States, analyzing the emerging trends that are influencing this space. Hospitals aggregate a large amount of continually changing patient data from disparate sources.

Asynchronously reported data elements with different output formats and frequencies can be difficult to assimilate, making it difficult for health practitioners to identify all the relevant signals of a physiological or medical decline and delaying timely medical intervention. This has led to increased demand for CDSS that can make relevant data available to specialists, improve communication among different segments of the ICU staff, and offer real-time support to enhance the remote management of critical patients.