Jeanne Venella, Chief Nursing Officer of Bernoulli, was interviewed by Dr. Matt Birnholz on ReachMD discusses nursing workflow

Bernoulli CNO Discusses Innovation and Technology at Villanova Health Summit

Jeanne Venella talks with Matt Birnholz about the importance of integrating new technologies within the nursing field.

At the Villanova Health Summit, Jeanne Venella, Chief Nursing Officer of Bernoulli, was interviewed by Dr. Matt Birnholz, Vice President and Medical Director for ReachMD, about the challenges of adopting and integrating new technology into nursing workflow.

Venella stressed the importance of including nurses in healthcare technology evaluation, implementation and training. If end-users are not involved in the selection, adoption and implementation of a technology, then the likelihood that they will become owners of that product is significantly lower, which could impair patient safety and clinical workflow initiatives.

The Villanova Health Summit brings together renowned leaders in the healthcare community representing diverse points of expertise such as bioengineering, law, ethics, hospital administration, bench-to-bedside research, and patient care. Featuring unique, multi-disciplinary collaborations, this series explores novel approaches to some of the most pressing issues in healthcare today.

Click to watch the video interview with Bernoulli’s CNO Jeanne Venella on Reach MD Radio

at Risk of Respiratory Depression, rdss

Bernoulli Launches Respiratory Depression Safety Surveillance Solution

Revolutionary New Analytics Application to Address Significant Patient Safety Threat

Milford, CT—April 3, 2017—Bernoulli, the leader in real-time solutions for patient safety, has announced a revolutionary new application for the continuous monitoring of patients at risk of respiratory depression. Bernoulli’s Respiratory Depression Safety Surveillance (RDSS) solution utilizes comprehensive real-time data to help clinicians quickly recognize and respond to signs of respiratory distress. RDSS includes exclusive 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.

A Solution to a Growing Patient Safety Threat

More than half of medication-related deaths and 20,000 incidences of respiratory depression-related interventions annually are attributed to the delivery of opioids in a care setting, at a cost of approximately $2 billion per year to the U.S. healthcare system.1

Current monitoring practices are neither adequate nor comprehensive. For example, one of the most common methods—periodic physical spot checks by direct-care clinical staff—can leave patients unmonitored up to 96% of the time.2 Additionally, the adoption of continuous respiratory surveillance is beset by significant challenges, including reduced visual and audible oversight due to single-patient rooms and high nurse-to-patient ratios in many care areas with at-risk patients, and limitations of stand-alone respiratory monitoring devices that can have high rates of false and non-clinically actionable alarms. The disruption of direct-care clinical staff workflow also is a major barrier to continuous monitoring.

Bernoulli’s RDSS solution mitigates many of these clinical, technical and operational challenges. The platform provides connectivity to a hospital’s existing fleet of pulse oximeters and capnographs from a wide range of vendors, including Medtronic, Masimo and others. RDSS also integrates with mobile clinical communication tools to deliver the right alarms and alerts to the right caregiver at the right time.

Proven Clinical Results

In a forthcoming clinical study of patients diagnosed or at risk of obstructive or central sleep apnea, to be published in the Journal of Biomedical Instrumentation & Technology3, the use of Bernoulli’s RDSS analytics reduced 22,812 alarms generated by bedside capnographs and pulse oximeters to just 209 respiratory depression alerts delivered to mobile clinicians—a reduction of 99%. More importantly, the RDSS analytics distributed alerts for every patient that experienced an actual respiratory depression episode.

“The risks inherent in delivering opioids or patient-controlled analgesia to post-operative patients increase the possibility for sentinel events, particularly in patient populations managing chronic illnesses or co-morbidities, such as sleep apnea and obesity,” said Janet Dillione, CEO of Bernoulli. “Bernoulli’s RDSS solution effectively delivers on the recommendations of The Joint Commission, AAMI Foundation and ECRI Institute that hospitals implement continuous respiratory monitoring for these at-risk patients.”


  1. Overdyk FJ, Carter R, Maddox RR, Callura J, Herrin AE, Henriquez C. Continuous Oximetry / Capnometry Monitoring Reveals Frequent Desaturation and Bradypnea During Patient-Controlled Analgesia. Anesth Analg. 2007;105:412-8.
  2. Wong M, Mabuyi A, Gonzalez B. First National Survey of Patient-Controlled Analgesia Practices. Physician-Patient Alliance for Health & Safety (PPAHS), October 2013; Web page:
  3. Supe D, Baron L, Decker T, Parker K, Venella J, Williams S, Beaton K, Zaleski J. A pilot study in middleware-filtered capnography alarms of continuously monitored obstructive sleep apnea patient in a medical-surgical unit. BI&T. May/June 2017. Manuscript in preparation.


About Bernoulli

Bernoulli is the leader in real-time solutions for patient safety, with more than 1,200 installed, operational systems. Bernoulli One is the market’s only real-time, connected healthcare platform that combines comprehensive and vendor-neutral medical device integration with powerful middleware, clinical surveillance, telemedicine/virtual ICU, advanced alarm management, predictive analytics and robust distribution capabilities into ONE solution that empowers clinicians with tools to drive better patient safety, clinical outcomes, patient experience, and provider workflow. For more information about Bernoulli One, visit Follow us on Twitter and LinkedIn. Visit our Resource Center to download case studies, white papers and articles.

AI in healthcare

John Zaleski to Present at Machine Learning & AI in Healthcare Conference

Bernoulli Chief Analytics Officer John Zaleski, PhD, CAP, CPHIMS, will be presenting “Identifying actionable alarms in OSA patients receiving opioids” at the Machine Learning & AI in Healthcare conference May 3-4, in Boston.



Dr. Zaleski will discuss the use of adjustable, multi-variable thresholds involving combinatorial alarm signals to discriminate between actionable and non-actionable alarms without increasing risks to patient safety.

“Middleware designed to collect data at variable speeds and the use of precision alarms, which harness real-time patient data and notifications from individual devices in order to identify clinically relevant trends, sustained conditions and combinatorial indications are essential to continuous electronic monitoring (CEM),” said Zaleski.

Considered a best practice by the Joint Commission, the Anesthesia Patient Safety Foundation and other healthcare advocates and agencies, CEM is typically utilized in high-acuity settings, such as intensive care and med-surg units. However, the ability to combine analysis with real-time data at the point of collection makes enterprise-wide CEM a viable opportunity. “The ability to track patients throughout the hospital, continuously add new medical devices, and distribute real-time patient data to centralized dashboards and mobile devices should be a major consideration for health system seeking to achieve real-time healthcare capabilities,” he said.

Zaleski’s session is scheduled for 10 a.m. (ET) on May 4. The conference updates and news will be available on Twitter using the hashtag #MachineLearningHC.

Follow Bernoulli on Twitter and LinkedIn. Visit our Resource Center to download case studies, white papers and articles.

Why continuous monitoring will challenge CIOs and their IT systems

CEO Janet Dillione published in Health Data Management

hdmThe successful implementation of scalable, real-time patient safety initiatives have long been a goal of hospitals and health system CIOs, which is why understanding the value proposition of alarm and notification platforms is essential familiarity of health system CIOs, writes Bernoulli CEO Janet Dillione in Health Data Management.

“The ability to track patients throughout the hospital, continuously add new devices, and distribute real-time patient monitoring to centralized dashboards and mobile devices should be a major consideration for CIOs tasked with implementing real-time healthcare solutions,” Dillione writes.

Health system CIOs should evaluate medical device integration middleware capabilities, precision alarms, and real-time analytics driven by a rules-based engine.

Dillione concludes that health systems that can establish continuous electronic monitoring are creating a foundation real-time healthcare innovations, including clinical surveillance modules, medical device integration in an EHR and virtual ICUs.

Follow Bernoulli on LinkedIn and Twitter for the latest news and updates.

Jeanne Venella’s Alarm Fatigue Commentary in AAMI Horizons

jeanne VenellaAlarm signals are disrupting patients’ recovery and exhausting clinical staff, according to a commentary published by Bernoulli Chief Nursing Officer Jeanne Venella, DNP, MS, RN, CEN, CPEN, in the Spring 2017 issue of AAMI Horizons.

“Drawing Up a New Game Plan to Reduce Alarm Fatigue” notes that 85 percent to 99 percent of alarms require no intervention on the part of clinical staff. In addition to alarm fatigue, this growing problem represents a significant risk to patient safety if caregivers arbitrarily adjust threshold settings on devices or shut them off completely.

The problem has become so severe that the Joint Commission made clinical alarm management a priority with its National Patient Safety Goal (NPSG.06.01.01), mandating that hospitals take definitive steps to implement policies and procedures to safely reduce and prioritize clinical alarms.

Venella explores the logical steps hospitals and health systems should take to get their alarm issue under control, including:

  • Assessing the current state of the clinical alarm environment, identifying and developing targets for reduction, and evaluating appropriate interventions, policies, and standards.
  • Performing a baseline alarm management study to separate clinically relevant alarms from non-actionable alarms and managing the ever-growing number of alarm-enabled medical devices.
  • Devising standards and strategies for executing on a clinical alarm management program

Writes Venella, “Alarm management is a classic example of interdisciplinary leadership, involving clinical, IT, biomedical engineering, and other departments. Alarm management is also much more than simply reducing non-actionable alarms; it’s a gateway for more seamless care and a way for hospitals to leverage hard data to make continuous improvements to its care and response processes.”


The Spring issue of AAMI Horizons is now online for AAMI members and subscribers. Follow Bernoulli on LinkedIn and Twitter for the latest news and updates.