Noise, Distractions, and Hazards in the Operating Room.

Anesthesiologists are perioperative leaders of patient and health care team safety. The anesthesiologist needs to remain vigilant in the perioperative setting and while caring for patients. The ability to navigate increased noise levels, distractions, and hazards is crucial for maintaining a safe environment.

Designing Novel Physiologic Monitor Displays for Combat Medics.

Introduction: Combat medics who are responsible for the care of injured warfighters face challenges from their reliance on medical alarms that exceed the noise levels recommended by the WHO. This is because the elevated noise levels in military facilities, particularly from vehicular units and weaponry, compromise the combat medics' effectiveness and attentiveness to medical alarms. We previously designed a graphical ("configural") display to communicate patients' vital signs and found that when the configural display and traditional numerical display were concurrently presented to participants, it produced the fastest identification of patient vital signs and triggered the fewest number of alarms.

Patients' Perceptions of Virtual Live Music in the Intensive Care Unit.

Background: Implementing music in the intensive care unit has increased in popularity because the environment can be stressful and anxiety inducing for many patients. In hospital settings, therapeutic music can be beneficial for patients' well-being and recovery. Although live music typically involves a face-to-face encounter between the musician and patient, the COVID-19 pandemic has prompted a change to virtual live therapeutic music, using technology to present music in real time (eg, with a tablet computer).

A Spatiotemporal and Multisensory Approach to Designing Wearable Clinical ICU Alarms.

In health care, auditory alarms are an important aspect of an informatics system that monitors patients and alerts clinicians attending to multiple concurrent tasks. However, the volume, design, and pervasiveness of existing Intensive Care Unit (ICU) alarms can make it difficult to quickly distinguish their meaning and importance. In this study, we evaluated the effectiveness of two design approaches not yet explored in a smartwatch-based alarm system designed for ICU use: (1) using audiovisual spatial colocalization and (2) adding haptic (i.

Ten Years Later, Alarm Fatigue Is Still a Safety Concern.

Ten years after the publication of a landmark article in AACN Advanced Critical Care, alarm fatigue continues to be an issue that researchers, clinicians, and organizations aim to remediate. Alarm fatigue contributes to missed alarms and medical errors that result in patient death, increased clinical workload and burnout, and interference with patient recovery. Led by the American Association of Critical-Care Nurses, national patient safety organizations continue to prioritize efforts to battle alarm fatigue and have proposed alarm management strategies to mitigate the effects of alarm fatigue.

Auditory roughness: a delicate balance.

Auditory roughness in medical alarm sounds is an important design attribute, and has been shown to impact user performance and perception. While roughness can assist in decreased signal-to-noise ratios (perceived loudness) and communicate urgency, it might also impact patient recovery. Therefore, considerations of neuroscience correlates, music theory, and patient impact are critical aspects to investigate in order to optimise alarm design.

Multisensory alarm to benefit alarm identification and decrease workload: a feasibility study.

The poor design of conventional auditory medical alarms has contributed to alarm desensitization, and eventually, alarm fatigue in medical personnel. This study tested a novel multisensory alarm system which aims to help medical personnel better interpret and respond to alarm annunciation during periods of high cognitive load such as those found within intensive care units. We tested a multisensory alarm that combined auditory and vibrotactile cues to convey alarm type, alarm priority, and patient identity.

Improving detectability of auditory interfaces for medical alarms through temporal variation in amplitude envelope.

Background: Auditory interfaces play a vital role in many applications, informing users about both urgent and routine information critical to safety. Unfortunately, problems related to high alarm rates, low reliability, and sound annoyance create barriers to optimising the quality of patient care in perioperative medicine and critical care. Here, we explore how to reduce annoyance and improve detection by manipulating a sound's temporal envelope or the way its energy changes over time.

New onset delirium prediction using machine learning and long short-term memory (LSTM) in electronic health record.

Objective: To develop and test an accurate deep learning model for predicting new onset delirium in hospitalized adult patients.

Methods: Using electronic health record (EHR) data extracted from a large academic medical center, we developed a model combining long short-term memory (LSTM) and machine learning to predict new onset delirium and compared its performance with machine-learning-only models (logistic regression, random forest, support vector machine, neural network, and LightGBM). The labels of models were confusion assessment method (CAM) assessments.

Improved Patient Monitoring with a Novel Multisensory Smartwatch Application.

The design of medical alarms has been heavily criticized in the past decade. Auditory medical alarms have poor learnability, discernibility, and relevance, leading to poor patient outcomes, and alarm fatigue, and overall poor informatic system design. We developed a novel trimodal patient monitoring smartwatch application for patient monitoring.

The Influence of Audible Alarm Loudness and Type on Clinical Multitasking.

In high-consequence industries such as health care, auditory alarms are an important aspect of an informatics system that monitors patients and alerts providers attending to multiple concurrent tasks. Alarms levels are unnecessarily high and alarm signals are uninformative. In a laboratory-based task setting, we studied 25 anesthesiology residents' responses to auditory alarms in a multitasking paradigm comprised of three tasks: patient monitoring, speech perception/intelligibility, and visual vigilance.

Delirium Variability is Influenced by the Sound Environment (DEVISE Study): How Changes in the Intensive Care Unit soundscape affect delirium incidence.

Quantitative data on the sensory environment of intensive care unit (ICU) patients and its potential link to increased risk of delirium is limited. We examined whether higher average sound and light levels in ICU environments are associated with delirium incidence. Over 111 million sound and light measurements from 143 patient stays in the surgical and trauma ICUs were collected using Quietyme® (Neshkoro, Wisconsin) sensors from May to July 2018 and analyzed.

Decaying amplitude envelopes reduce alarm annoyance: Exploring new approaches to improving auditory interfaces.

Auditory alarms offer great potential for facilitating human-computer interactions in complex, rapidly changing environments. They are particularly useful in medical settings, where in theory they should afford communication in emergency rooms, operating theatres, and hospitals around the world. Unfortunately, the sounds typically used in these devices are problematic, and researchers have documented numerous shortcomings.

Evaluation of Noninvasive Respiratory Volume Monitoring in the PACU of a Low Resource Kenyan Hospital.

This research aims to evaluate the use of the noninvasive respiratory volume monitor (RVM) compared to the standard of care (SOC) in the Post-Anesthesia Care Unit (PACU) of Kijabe Hospital, Kenya. The RVM provides real-time measurements for quantitative monitoring of non-intubated patients. Our evaluation was focused on the incidence of postoperative opioid-induced respiratory depression (OIRD).

New-Onset Refractory Status Epilepticus with Underlying Autoimmune Etiology: a Case Report.

Management of new-onset refractory status epilepticus and the approach to burst suppression variable is often challenging. We present the unusual case of a previously healthy 18-year-old male with new-onset status epilepticus admitted to the neurologic intensive care unit for 70 days. Despite treatment with multiple anti-epileptic drugs in addition to IV anesthetics, burst suppression was initially unsustainable and the patient remained in super-refractory status epilepticus.

Observational Study of Clinician Attentional Reserves (OSCAR): Acuity-Based Rounds Help Preserve Clinicians' Attention.

Objectives: Team rounding in the ICU can tax clinicians' finite attentional resources. We hypothesized that a novel approach to rounding, where patients are seen in a decreasing order of acuity, would decrease attentional attrition.

Design: Prospective interventional internal-control cohort study in which stop signal task testing was used as a proxy for attentional reserves.