An ongoing study shows that combination smart alerts derived from medical device data can help to identify clinically actionable events.
Contextualized surveillance smart alerts support patient safety and clinician satisfaction by helping identify emergent clinically actionable events and reducing alarm fatigue.
Healthcare organizations efficiently harness valuable waveform data for clinical research, utilizing advanced integration technology to capture waveforms from medical devices and tailor the data to the requirements of downstream systems such as analytics applications and research databases.
Healthcare organizations efficiently harness valuable waveform data for clinical research, utilizing advanced integration technology to capture waveforms from medical devices and tailor the data to the requirements of downstream systems such as analytics applications and research databases.
Patient care requires continuous cognitive shifting and stacking to identify and prioritize clinical tasks. Processing the vast volume of information alone is stressful, then consider that shifting and stacking can potentially distract a clinician from noticing a warning sign of patient deterioration. The best result would be a slight delay in the delivery of needed care, while the worst result would be A Nurse’s Greatest Fear.
Edge computing allows you to create a secure “mini network” of a patient’s bedside medical devices, separate from the hospital’s main network. The edge computing device provides added security by controlling data exchange at the application level, rather than the network level.
