Case Studies
Case Study I: Leveraging High-frequency load sensor data to identify restlessness
How the Beat Analytics System
can identify patients at risk of a bed exit.
Bed exits and falls are one of the most common and devastating adverse events
that occur.
The Darroch team hypothesized that restlessness, which may lead to a bed exit, can be captured through sharp changes in vital signs measurements. In a controlled study, simulated patients were asked to consume up to 1L of water and have their restlessness index and vitals aggregated by the BAS.
Darroch's platform captured continuous load sensor and vitals data to calculate novel restlessness features. Distinct shifts in variability and signal volatility emerged during the experimental phase, highlighting how subtle physiological changes can be quantified as movement occurs.
These findings demonstrate the potential of leveraging data to uncover new behavioral and physiologic signatures that may inform awareness of unassisted bed exits and other pressure injuries.
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(For Investigational Use Only. Performance characteristics have not yet been established.)
Case Study: Pneumonia
How the Beat Analytics System enabled Nurses to prevent an Adverse Event
This patient suffered from pneumonia while recovering in a step-down unit. This patient removed their oxygen assistance sometime around 12:50PM, leading to the sharp declines in their SPO2 level.
Because the Beat Analytics System notified the nurses when the boundary condition was breached, nurses were able to reengage oxygen assistance and prevent further deterioration in patient conditions and resulting complications.
Without the BAS, the nurses would not have been notified of the patient’s deterioration and would have attended to the problem later, potentially leading to lasting debilitation and potential ICU readmission.
