Bernoulli Aids Early Detection of Hypotension in the ICU

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A recent study published in Anesthesiology by Hatib etal. [Anesthesiology 10 2018 Vol. 129, 663-674] from the University of California (UC) at Irvine Medical Center demonstrated that large sets of real-time data—high-fidelity arterial waveforms—applied to machine learning algorithms could identify patients experiencing onset of hypotension up to 15 minutes before its occurrence. UC Irvine used Bernoulli One to collect more than 500,000 waveforms, which were then used to train a machine-learning algorithm to predict hypotension.

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What clinicians can learn from commercial aviation

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Between 2006 and 2011, the Health Technology Foundation (HTF), a non-profit organization that advocates for the development of safe and effective health IT, conducted a series of surveys designed to capture the impact of device alarms on clinical workflow and hospital practices.

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How clinician’s adopt technology

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Over the past decade, there have been many improvements in the healthcare industry. The number of different technologies used across hospitals is immense. Many of these technological advances have streamlined workflows, brought efficiencies to processes, improved patient safety and care, and reduced clinical workload.

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With alarms, sometimes less is more

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The average hospital room contains between 15 and 20 medical devices. Each patient will generate about 135 alarms each day—or about 11 alarms per hour for a 12-hour nursing shift.

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ECRI report provides a roadmap for improved patient safety

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The ECRI Institute, an independent authority on the medical practice and product safety, recently published its Top 10 Patient Safety Concerns for 2019. All the items in the report are important, but items 6, 8 and 10 merit additional scrutiny. They include, respectively:Detecting Changes in a Patient’s Condition, Early Recognition of Sepsis across the Continuum, Standardizing Safety Efforts across Large Health Systems

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Reflections on Patient Safety Awareness Week

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Every year, the healthcare industry recognizes Patient Safety Awareness Week to inspire and activate healthcare professionals around the world to improve patient and workforce safety.

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New study demonstrates the threat of respiratory compromise

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A new study published in the Journal of Critical Care found that occurrences of opioid-induced respiratory depression (OIRD) on general care floors may be more common than previously documented.1 The PRODIGY study, which included 1,500 patients across 16 sites in the U.S., Europe and Asia, confirmed that OIRD occurred in 46 percent of patients.

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Re-Imagining the mission of patient safety technology

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Before the mainstream adoption of today’s digital healthcare technologies, nurses relied much more on their senses, clinical training and instinct to monitor patients. Devices played a secondary role, as an aide to the nurse.

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Why the difference between continuous surveillance and patient monitoring matters

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Here is where we get into an issue of semantics. In a forthcoming concept analysis to be published by the HIMSS Online Journal of Nursing Informatics (OJNI), I argue that clinicians often use the terms ‘monitoring’ and ‘surveillance’ interchangeably.

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Takeaways from the 2018 AARC Conference

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Just returned from the 2018 American Association for Respiratory Care (AARC) Congress, in Las Vegas, where we demonstrated the clinical surveillance capabilities of our Bernoulli One™ platform; engaged in energetic conversations with hundreds of respiratory care professionals; and attended a number of in-depth education sessions that drove the advancement of patient quality and safety. Here are the significant takeaways we drew from the Congress.

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