Join us for a CE
accredited webinar:
Anatomy of a smart alarm:
Intervention based on adverse trends
Limited Space Available
LIMITED SPACE
Space is limited for this CE accredited webinar, Anatomy of a smart alarm:
Intervention based on adverse trends
WEDNESDAY, FEBRUARY 14, 2018
TIME: 1:00 – 2:00 PM EST
Space is limited it would be best to arrive a few minutes before the webinar event.
The challenge is not merely reducing the number of alarms, but identifying which patients are at risk for adverse events that will lead to these alarms.
Presenter:
John Zaleski, PhD, CPHIMS
Dr. Zaleski is Chief Analytics Officer of Bernoulli Enterprise, Inc. He brings 22 years of experience in researching and ushering to market products to improve healthcare. He received his Ph.D. from the University of Pennsylvania, with a dissertation that describes a novel approach for modeling and prediction of post-operative respiratory behavior in post-surgical cardiac patients.
Dr. Zaleski has a particular expertise in developing and implementing point-of-care applications for hospital enterprises. Dr. Zaleski is the named inventor or co-inventor on eight issued U.S. patents related to medical device interoperability and clinical informatics. He is the author of peer-reviewed articles and conference papers on the clinical use of medical device data. He has written three seminal books on integrating medical device data into electronic health records and the use of medical device data for clinical decision making, including the #1 best seller of HIMSS 2015 on connected medical devices.
Description:
Despite attempts to reduce alarm signals and alarm fatigue in hospitals, problems still exist in high-acuity areas such as ICU and general care units. This has led to increased research on how to reduce alarm quantities from physiologic monitors and ventilators. While valuable, it’s not enough to simply adjust alarm thresholds or suppress specific alarms typically communicated to clinicians. These methods for reducing alarms only address a symptom of a much larger problem. A better solution is to identify the patients that are at risk for adverse events, thereby identifying patients on whom subsequent downstream alarms are likely.
This may seem like a subtle difference, yet, the approach means a shift in philosophy: proactively identify those patients who are likely trending towards adverse events versus sending a reactive notification of the event’s occurrence. This shift requires detecting, validating, and communicating developments in patient conditions using smart alarms.
During the webinar we will focus on the different types of smart alarms and how they can help to identify patient deterioration. We’ll also discuss “shoulder tap” communication of smart alarms and how they enable timely patient intervention.
This webinar will:
- Discuss the clinical reasons why simply adjusting threshold limits on medical monitoring devices as a mechanism to reduce nuisance alarms is potentially dangerous
- Describe the differences between smart alarms and single variable alarm signal threshold limits for early detection of patient deterioration
- Compare the functions, limitations and complexities of machine-issued alarm signals and settings to those of smart alarms
- Discuss the ways in which real-time, continuous, patient data improves clinical outcomes
Continuing education:
- This program has been approved by the American Association of Critical-Care Nurses (AACN) for 1.0 CERPs, Synergy CERP Category A, File Number 21963
- This program has been approved for 1 CRCE Contact Hour by the American Association for Respiratory Care (AARC).
Who should attend:
- Nurses
- Respiratory therapists