During this observational study, the investigators aim to assess the ability of ICU clinicians to predict the risk of impending organ failure and retrospectively compare it to the performance of previously published machine learning models. The central hypothesis of this study is that the treating physician can predict impending organ failure in adult ICU patients with similar accuracy as the best previously publishes machine learning models.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Clinician prediction of circulatory failure within 8 hours compared to published ML models
Timeframe: Assessments are collected within the first 72 hours following admission.