Entries by

The Case for Continuous Clinical Surveillance

Reducing false alarms has been the subject of countless meetings, lectures and peer-reviewed studies. Many approaches have been identified for reducing alarms in high-acuity settings. For example, Görges [2] showed that a 14-second delay before alarm presentation would reduce non-actionable alarms by 50%. A 19-second delay would reduce this further to 67%.

A Technology Safety Net that Improves Patient Safety

The increasing complex state of health care and compounding nursing vacancies are playing a role in un-achieved outcomes and putting patients at risk. This is the reality that most hospitals face today. More critically-ill patients are seeking care and are being cared for by fewer clinicians.

What Real-Time Data Could Have Done for These Patients

The concepts behind smart alarms and use of real-time data to make better decisions are not new. Many people have had their experiences in the field of medicine and medical informatics but not all people and organizations have acted upon these experiences. Bernoulli is one organization that has.

Bernoulli Smart Alarms & Surveillance: Applying Analytics in Real-Time Whitepaper

Research and independent findings suggest that improved surveillance and increased patient safety can be achieved through the use of continuous monitoring. Furthermore, 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 […]