Patient care devices (PCDs) produce alarms based on pre-defined thresholds that are established as defaults within the individual medical devices equipment. These machine-issued alarms are normally set to a standard default based on the practice of medicine defined by published guidelines and protocols, and are further refined or customized based upon an individual hospital’s best practices, learnings, policies, studies and clinical preferences of staff.
To counteract the hazards and workflow impacts of these scenarios, a centralized surveillance platform is necessitated whereupon individual alarms can be set on a pre-patient basis, viewed, escalated and acknowledged. But, the mere acknowledgement and viewing of alarms is insufficient: there must be a mechanism for creating and setting alarms that are separate from the patient care devices but that will not interfere with the settings on any one particular medical device. Rather, default settings of the individual patient care devices at the bedside can remain at some homogeneous standard levels and the settings can be managed on a clinical surveillance platform (Bernoulli One™) individually or in groups. Better yet, in order to quiet the environment around the patient, alarm settings on the individual devices supporting any one patient can be widened and tighter monitoring can be managed using a surveillance platform.
Research and independent findings suggest that improved surveillance and increased patient safety can be achieved through the use of continuous monitoring. Furthermore, the identification of hypoventilation, CO2 narcosis and apnea are most effectively accomplished via continuous monitoring of respirations and end-tidal carbon dioxide through capnography together with pulse, pulse oximetry and blood pressure. Changes in single parameter values may not be a good indicator of patient respiratory compromise. Hence, monitoring of multiple parameters to assess their interrelationships is an important capability that Bernoulli brings through the Bernoulli One platform, as multiple independent measurements can be correlated and associated with user-defined clinically-significant criteria that, when evaluated together, can yield important early indicators of pending compromise.
In this white paper, you will learn about the different types of smart alarms:
- Combination Alarms
- Consecutive Alarms
- Sustained Alarms
- Trend Alarms