Bernoulli and Virtua Health Receive Best Research Paper of 2017

Editorial Board from BI&T awards writing team from Bernoulli and Virtua Health with Best Research Paper of 2017: 'Continuous Surveillance of Sleep Apnea Patients in a Medical-Surgical Unit'.  

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AAMI Journal Awards: Best Research Paper, "Continuous Surveillance of Sleep Apnea Patients in a Medical-Surgical Unit"

Bernoulli and Virtua Health received the award of Best Research Paper by AAMI Journal Awards for the research paper, "Continuous Surveillance of Sleep Apnea Patients in Medical-Surgical Unit" that was published in the May/June 2017 issue of BI&T (Biomedical Instrumentation & Technology). Bernoulli and Virtua will be formally recognized for this award during a ceremony at the AAMI 2018 Conference & Expo in Long Beach, CA, on June 2. 

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Peer-Reviewed Respiratory Depression Study

John Zaleski, PhD, CAP, CPHIMS, Chief Analytics Officer, and Jeanne Venella, DNP, MS, RN, CEN, CPEN, Chief Nursing Officer of Bernoulli, the real-time leader in patient safety, co-authored a study demonstrating the use of patented analytics, medical device connectivity and combinatorial alarms to provide remote centralized monitoring of post-surgical patients at risk for opioid-induced respiratory depression (OIRD).

The peer-reviewed study - Continuous Surveillance of Sleep Apnea Patients in a Medical-Surgical Unit - published in the May/June 2017 issue of Biomedical Instrumentation & Technology, consists of two separate studies on the use of continuous capnography monitoring at a medical-surgical unit at Virtua Health System in New Jersey. 

The study's results suggest that combinatorial alarm signals based on multi-parameter assessment reduced overall load better than individual-parameter sustained alarm signals and appeared to be more effective at identifying at-risk patients.

Using only sustained alarms as the filter for notifications reduced alerts from 22,812 to 13,000. However, passing multiple series of data through a multi-variable rules engine that monitored the values of pulse (HR), oxygen saturation (SpO2), respiratory rate (RR), and end-tidal carbon dioxide (ETCO2) in order to determine which alarms to send to the nurse-call phone system further reduced alerts to just 209—a 99% reduction.

The Solution

The solution leveraged in the study, Bernoulli's Respiratory Depression Safety Surveillance, includes patented analytics with multi-variable thresholds - adjustable by the care facility - to identify clinically actionable events while significantly reducing the overall number of alarms communicated to remote and mobile clinicians, mitigating the risk of alarm fatigue.

The study's other co-authors include Dana Supe, MD, MBA, DABSM; Leah Baron, MD; Tom Decker; and Kyle Parker of Virtua, and Kari Beaton, RN, and Sarah Williams, RT, of Bernoulli.

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Biomedical Instrumentation & Technology Study: Continuous Surveillance of Sleep Apnea Patients in a Medical-Surgical Unit. 

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