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Bernoulli Evangelizes Continuous Clinical Surveillance at HIMSS19MILFORD, Conn., Jan. 31, 2019 /PRNewswire/ -- Bernoulli Health, the leader in real-time connected healthcare, will showcase the tangible patient safety benefits of prospective continuous clinical surveillance in general education and the Exhibit Hall demonstrations at the 2019 Annual HIMSS Conference & Exhibition, Feb. 11-15, in Orlando. Hospitals and health systems are under increased regulatory pressure to reduce high rates of preventable hospital-acquired illnesses, such as opioid-induced respiratory depression (OIRD) and sepsis. Current monitoring practices, such as vital sign spot checks, are poorly suited to provide evidence-based insights into evolving trends in a patient's condition. Conversely, "clinical surveillance tools hold the promise of giving caregivers clinically actionable insights that decrease mortality, reduce readmissions, and improve overall patient outcomes," according to a new KLAS report. "Hospital investments in clinical surveillance are driven by organizations seeking to achieve the objectives of value-based care, and patient safety in the era of value-based care is increasingly defined as preventing adverse events before emergency interventions or costly escalations are required," said Janet Dillione, CEO of Bernoulli Health. "Bernoulli is looking forward to demonstrating our capabilities to the largest gathering of health IT professionals in the country." Education: A Business Case & Clinical Case for Continuous Surveillance This education session, based on an award-winning study in the Journal of Biomedical Instrumentation & Technology, will demonstrate the efficacy of advanced analytics, medical device connectivity and combinatorial alarms to provide remote centralized continuous monitoring of post-surgical patients at risk for OIRD, while also eliminating artifacts that could increase alarm fatigue in clinical staff and recovery disruption in patients. The study found that passing multiple series of patient-generated data through a multi-variable rules engine not only reduced overall alerts by 99 percent, but successfully identified every patient at risk for respiratory depression in advance of an incident. "Data from multiple sources are required to maximize patient safety, including the EHR and real-time data from medical devices," said Zaleski. "Combining analysis with real-time data at the point of collection creates a powerful tool for prediction and clinical decision support, and has implications for achieving real-time healthcare capabilities enterprise-wide." The platform utilized in the study was Bernoulli One™, the market's only real-time, end-to-end, connected healthcare platform. Bernoulli One collects, aggregates, and distributes patient-generated data (including alarms and waveforms) from a broad range of medical devices in real-time, as well as retrospective data from the enterprise electronic health record. This provides clinical teams with instant access to a holistic and medically contextual portrait of a patient's condition. The KLAS report Clinical Surveillance 2018 found that Bernoulli Health clients are the most likely of any customer base to report high trust in Bernoulli One's alerts, according to a limited number of clients interviewed. Bernoulli in the Exhibit Hall
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