Currently-used tools for early recognition of clinical deterioration have high sensitivity, but low specificity and are based on infrequent measurements. We aimed to develop a pre-symptomatic and real-time detection and warning tool for potential patients’ deterioration based on a multiparameter real-time warning score, collecting data from almost 500 hospitalized patients. We show that the newly developed detection and warning tool, based on highly-frequent monitoring capabilities, outperforms currently-used tools. It provides medical teams with timely alerts of pre-symptomatic and real-time deterioration (PPV of 77% vs 20% with the current tools).
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