A pilot trial reported that an automated bedside decision-support system could predict ICU hypotension clusters and subsequent vasopressor up-titrations by extrapolating continuous arterial pressure trends. The work frames an actionable early-warning approach for hemodynamic deterioration. If validated in larger studies, predictive analytics built on continuously monitored waveforms could help clinicians intervene earlier in shock evolution and streamline escalation decisions. The trial design focuses on prognostic performance in a time-critical ICU setting rather than diagnostic replacement. The results reinforce demand for bedside models that integrate continuous monitoring streams with operational clinical workflows.