SBME Seminar: Simulation of Kidney Cystogenesis – Dr. James Glazier
Dr. Glazier will illustrate their use in a variety of contexts new and old focusing on epithelial organization, from the simulation of somite formation during development to epithelial homeostasis in the skin and the eye, kidney cystogenesis and developmental toxicology. Dr. Glazier will also discuss the kinds of questions we can answer with Virtual Tissue models to gain scientific insight and for biomedical engineering applications.
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SBME Research Seminar: Prompting Patients to Self-Rescue from Respiratory Depression – Dr. Lara Brewer
September 19 @ 11:00 am - 12:00 pm PDT
SBME Research Seminar: Prompting Patients to Self-Rescue from Respiratory Depression – Dr. Lara Brewer
Seminar Abstract:
Patients often receive opioids after surgery to treat pain. One side effect of the opioids is that the patient is at risk for experiencing a reduced drive to breathe. In extreme cases, the patient will become apneic, leading to a code blue and cardiopulmonary arrest. The whole event can take place within 10-15 minutes. The traditional way to monitor a patient at risk for respiratory depression or arrest is to measure their blood oxygen saturation with a pulse oximeter and their respiratory rate with a capnometer sampled by a nasal cannula. A central nursing station typically displays the monitored parameters and alerts. Pulse oximeters and capnometers also alarm in the patient’s room if the parameters are lower than normal. Unfortunately, the patient monitors frequently sound false alarms, leading to clinician burnout and fatigue. It is not uncommon for a nurse to be summoned to the bedside by many false alarms before missing a rare but fatal code blue event.
Our team is investigating a solution that involves monitoring the patient and asking them by name to self-rescue by taking life-saving breaths during a respiratory depression event. Our algorithm uses a reliable machine learning approach to identify ventilation problems. A speaker in the room annunciates prompts and makes bystanders aware of the respiratory depression. Our verbal prompting system shows excellent promise in correctly identifying periods of respiration depression, effectively inducing respiration resumption in both volunteers and patients, and maintaining repeated prompt effectiveness for at least 10 minutes. Together, our work demonstrates that an automated prompting system may help to keep a patient safe until a clinician can be summoned to the bedside.
Dr. Lara Brewer’s Biography:
Dr. Lara Brewer is a Research Associate Professor at the University of Utah, Salt Lake City, USA, Departments of Anesthesiology and Biomedical Engineering. She is one of three professors leading research in the Bioengineering Lab, which is imbedded in the Department of Anesthesiology. Her translational research is focused on developing and applying new technologies for anesthesia and intensive care. Recently, Dr. Brewer has focused on prompting respiration in patients receiving opioids post-surgically for pain relief. She and her team apply machine learning techniques to identify respiration problems and then prompt a patient to self-rescue, thereby improving patient safety until a clinician can return to the bedside. Dr. Brewer also partners closely with medical device manufacturers to test new concepts and to improve existing technologies throughout the clinical environment. Her work has been funded by the NIH, the Anesthesia Patient Safety Foundation, and NASA, among others. Before joining the University of Utah as faculty, Dr. Brewer earned both her Ph.D. and M.S. in Bioengineering from the U of U, working under Drs. Dwayne Westenskow and Joe Orr, where she developed a method for noninvasive measurement of Functional Residual Capacity based on a novel oxygen sensor.
Location:
LSC 1001 LT1