Case Study: HCA achieves 12-hour early warning for patient deterioration with H2O.ai H2O-3

HCA flags patient deterioration 12 hours early with H2O.ai

HCA, a large US healthcare provider, faced the challenge of identifying hospital patients at risk of unplanned ICU transfers, which carry a significantly higher mortality risk and add over a week to hospital stays. These events, while only 5% of admissions, account for a quarter of ICU admissions and a fifth of in-hospital deaths, with subtle warning signs that often go unnoticed on busy wards. To address this, they turned to vendor H2O.ai and implemented an early-warning system using the H2O-3 platform.

The solution built with H2O.ai involved creating a deterioration score that draws on bed history, lab chemistry, vital signs, comorbidities, and demographics to estimate patient risk. This system scores every patient's risk every six hours and alerts care teams when a probability threshold is crossed, providing up to 12 hours of early warning. This lead time allows teams to intervene earlier, potentially avoiding a crash altogether. The measurable impact includes flagging at-risk patients a full 12 hours before deterioration occurs.

HCA