A Business and Clinical Case for Continuous Surveillance: HIMSS 2019

Presentation at HIMSS 2019:

“Increased utilization of patient-controlled analgesia (PCA) and pro re nata (PRN) opioids for post-operative pain management poses significant risk of respiratory depression, particularly in patients diagnosed with or at risk for obstructive or central sleep apnea. Current practices for monitoring opioid-induced patients are neither adequate nor comprehensive. The speakers will analyze the results of two studies on the use of continuous capnography monitoring in a medical-surgical unit at a multi-hospital health system in order to detect adverse clinical events while also mitigating artifacts related to patient movement, suspect measurements and other medical device-generated alarm signals. 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.”

Author: johnrzaleski_eqbr0v

John R. Zaleski, PhD, CAP, CPHIMS, is Chief Analytics Officer of Bernoulli, a leader in real-time connected healthcare. Dr. Zaleski brings 21 years of experience in researching and ushering to market devices and products to improve healthcare. He received his PhD 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 designing, developing, and implementing clinical and non-clinical point-of-care applications for hospital enterprises. Dr. Zaleski is the named inventor or co-inventor on seven issued patents related to medical device interoperability. He is the author of numerous peer-reviewed articles on clinical use of medical device data, information technology and medical devices and wrote 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.

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