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.
Medical devices – especially connected ones – help with identifying and predicting patient deterioration. The insights they provide need to be readily accessible at the point of care and at the moment of care. These are some of the benefits edge computing delivers.
Supporting current clinicians and preventing adverse events throughout the hospital are possible with an enhanced clinical surveillance strategy that involves new data-driven workflows. Enhanced real-time clinical surveillance goes beyond standard monitoring of physiologic parameters to help detect emergent clinically actionable events.