Prenatal Diagnosis of Craniosynostosis Using Ultrasound.

BACKGROUND: Craniosynostosis is typically diagnosed postnatally. Prenatal diagnosis would allow for improved parental counseling and facilitate timely intervention. Our purpose was to determine whether prenatal ultrasound can be used to diagnose nonsyndromic craniosynostosis. METHODS: The authors reviewed 22 prenatal ultrasounds of infants known to have nonsyndromic craniosynostosis and 22 age-matched controls. Cross-sectional images at the plane used to measure biparietal diameter were selected and cranial shape of each participant was parameterized and used to discriminate affected patients from controls. The results from quantitative shape analysis were compared with results from a blinded visual inspection alone. RESULTS: Among the 22 patients, the most common diagnosis was sagittal synostosis ( n = 11), followed by metopic synostosis ( n = 6). The average gestational age at time of ultrasound of controls and synostotic patients was 26 weeks and 6.8 days at the junction of the second and third trimesters. The controls and synostotic cases segregated into statistically different populations by their shape profiles ( p < 0.001). An automatic shape classifier using leave-one-out cross-validation correctly classified the 44 images as normal versus synostotic 85 percent of the time (sensitivity, 82 percent; specificity, 87 percent). Cephalic index was a poor indicator of sagittal synostosis (45 percent sensitivity). Visual inspection alone demonstrated only a fair level of accuracy (40 to 50 percent agreement) in identifying cases of synostosis (kappa, 0.09 to 0.23). CONCLUSIONS: Craniosynostosis can be identified on prenatal ultrasound with good sensitivity using formal shape analysis. Cephalic index and visual inspection alone performed poorly. CLINICAL QUESTION/LEVEL OF EVIDENCE: Diagnostic, II.

Comparative Analysis of Emergency Medical Service Provider Workload During Simulated Out-of-Hospital Cardiac Arrest Resuscitation Using Standard Versus Experimental Protocols and Equipment.

INTRODUCTION: Protocolized automation of critical, labor-intensive tasks for out-of-hospital cardiac arrest (OHCA) resuscitation may decrease Emergency Medical Services (EMS) provider workload. A simulation-based assessment method incorporating objective and self-reported metrics was developed and used to quantify workloads associated with standard and experimental approaches to OHCA resuscitation. METHODS: Emergency Medical Services-Basic (EMT-B) and advanced life support (ALS) providers were randomized into two-provider mixed-level teams and fitted with heart rate (HR) monitors for continuous HR and energy expenditure (EE) monitoring. Subjects' resting salivary α-amylase (sAA) levels were measured along with Borg perceived exertion scores and multidimensional workload assessments (NASA-TLX). Each team engaged in the following three OHCA simulations: (1) baseline simulation in standard BLS/ALS roles; (2) repeat simulation in standard roles; and then (3) repeat simulation in reversed roles, ie, EMT-B provider performing ALS tasks. Control teams operated with standard state protocols and equipment; experimental teams used resuscitation-automating devices and accompanying goal-directed algorithmic protocol for simulations 2 and 3. Investigators video-recorded resuscitations and analyzed subjects' percent attained of maximal age-predicted HR (%mHR), EE, sAA, Borg, and NASA-TLX measurements. RESULTS: Ten control and ten experimental teams completed the study (20 EMT-Basic; 1 EMT-Intermediate, 8 EMT-Cardiac, 11 EMT-Paramedic). Median %mHR, EE, sAA, Borg, and NASA-TLX scores did not differ between groups at rest. Overall multivariate analyses of variance did not detect significant differences; univariate analyses of variance for changes in %mHR, Borg, and NASA-TLX from resting state detected significant differences across simulations (workload reductions in experimental groups for simulations 2 and 3). CONCLUSIONS: A simulation-based OHCA resuscitation performance and workload assessment method compared protocolized automation-assisted resuscitation with standard response. During exploratory application of the assessment method, subjects using the experimental approach appeared to experience reduced levels of physical exertion and perceived workload than control subjects.

Exploratory Application of Augmented Reality/Mixed Reality Devices for Acute Care Procedure Training.

INTRODUCTION: Augmented reality (AR), mixed reality (MR), and virtual reality devices are enabling technologies that may facilitate effective communication in healthcare between those with information and knowledge (clinician/specialist; expert; educator) and those seeking understanding and insight (patient/family; non-expert; learner). Investigators initiated an exploratory program to enable the study of AR/MR use-cases in acute care clinical and instructional settings. METHODS: Academic clinician educators, computer scientists, and diagnostic imaging specialists conducted a proof-of-concept project to 1) implement a core holoimaging pipeline infrastructure and open-access repository at the study institution, and 2) use novel AR/MR techniques on off-the-shelf devices with holoimages generated by the infrastructure to demonstrate their potential role in the instructive communication of complex medical information. RESULTS: The study team successfully developed a medical holoimaging infrastructure methodology to identify, retrieve, and manipulate real patients' de-identified computed tomography and magnetic resonance imagesets for rendering, packaging, transfer, and display of modular holoimages onto AR/MR headset devices and connected displays. Holoimages containing key segmentations of cervical and thoracic anatomic structures and pathology were overlaid and registered onto physical task trainers for simulation-based "blind insertion" invasive procedural training. During the session, learners experienced and used task-relevant anatomic holoimages for central venous catheter and tube thoracostomy insertion training with enhanced visual cues and haptic feedback. Direct instructor access into the learner's AR/MR headset view of the task trainer was achieved for visual-axis interactive instructional guidance. CONCLUSION: Investigators implemented a core holoimaging pipeline infrastructure and modular open-access repository to generate and enable access to modular holoimages during exploratory pilot stage applications for invasive procedure training that featured innovative AR/MR techniques on off-the-shelf headset devices.

Development and Application of a Clinical Microsystem Simulation Methodology for Human Factors-Based Research of Alarm Fatigue.

OBJECTIVES: (1) To develop a clinical microsystem simulation methodology for alarm fatigue research with a human factors engineering (HFE) assessment framework and (2) to explore its application to the comparative examination of different approaches to patient monitoring and provider notification. BACKGROUND: Problems with the design, implementation, and real-world use of patient monitoring systems result in alarm fatigue. A multidisciplinary team is developing an open-source tool kit to promote bedside informatics research and mitigate alarm fatigue. METHOD: Simulation, HFE, and computer science experts created a novel simulation methodology to study alarm fatigue. Featuring multiple interconnected simulated patient scenarios with scripted timeline, "distractor" patient care tasks, and triggered true and false alarms, the methodology incorporated objective metrics to assess provider and system performance. Developed materials were implemented during institutional review board-approved study sessions that assessed and compared an experimental multiparametric alerting system with a standard monitor telemetry system for subject response, use characteristics, and end-user feedback. RESULTS: A four-patient simulation setup featuring objective metrics for participant task-related performance and response to alarms was developed along with accompanying structured HFE assessment (questionnaire and interview) for monitor systems use testing. Two pilot and four study sessions with individual nurse subjects elicited true alarm and false alarm responses (including diversion from assigned tasks) as well as nonresponses to true alarms. In-simulation observation and subject questionnaires were used to test the experimental system's approach to suppressing false alarms and alerting providers. CONCLUSIONS: A novel investigative methodology applied simulation and HFE techniques to replicate and study alarm fatigue in controlled settings for systems assessment and experimental research purposes.

Simulation-based Randomized Comparative Assessment of Out-of-Hospital Cardiac Arrest Resuscitation Bundle Completion by Emergency Medical Service Teams Using Standard Life Support or an Experimental Automation-assisted Approach.

INTRODUCTION: Effective resuscitation of out-of-hospital cardiac arrest (OHCA) patients is challenging. Alternative resuscitative approaches using electromechanical adjuncts may improve provider performance. Investigators applied simulation to study the effect of an experimental automation-assisted, goal-directed OHCA management protocol on EMS providers' resuscitation performance relative to standard protocols and equipment. METHODS: Two-provider (emergency medical technicians (EMT)-B and EMT-I/C/P) teams were randomized to control or experimental group. Each team engaged in 3 simulations: baseline simulation (standard roles); repeat simulation (standard roles); and abbreviated repeat simulation (reversed roles, i.e., basic life support provider performing ALS tasks). Control teams used standard OHCA protocols and equipment (with high-performance cardiopulmonary resuscitation training intervention); for second and third simulations, experimental teams performed chest compression, defibrillation, airway, pulmonary ventilation, vascular access, medication, and transport tasks with goal-directed protocol and resuscitation-automating devices. Videorecorders and simulator logs collected resuscitation data. RESULTS: Ten control and 10 experimental teams comprised 20 EMT-B's; 1 EMT-I, 8 EMT-C's, and 11 EMT-P's; study groups were not fully matched. Both groups suboptimally performed chest compressions and ventilations at baseline. For their second simulations, control teams performed similarly except for reduced on-scene time, and experimental teams improved their chest compressions (P=0.03), pulmonary ventilations (P<0.01), and medication administration (P=0.02); changes in their performance of chest compression, defibrillation, airway, and transport tasks did not attain significance against control teams' changes. Experimental teams maintained performance improvements during reversed-role simulations. CONCLUSION: Simulation-based investigation into OHCA resuscitation revealed considerable variability and improvable deficiencies in small EMS teams. Goal-directed, automation-assisted OHCA management augmented select resuscitation bundle element performance without comprehensive improvement.

Interactive Instrument-Driven Image Display in Laparoscopic Surgery.

BACKGROUND: A significant limitation of minimally invasive surgery is dependence of the entire surgical team on a single endoscopic viewpoint. An individualized, instrument-driven image display system that allows all operators to simultaneously define their viewing frame of the surgical field may be the solution. We tested the efficacy of such a system using a modified Fundamentals of Laparoscopic Surgery™ (Society of American Gastrointestinal and Endoscopic Surgeons, Los Angeles, CA) bead transfer task. MATERIALS AND METHODS: A program was custom-written to allow zooming and centering of the image window on specific color signals, each attached near the tip of a different laparoscopic instrument. Two controls were used for the bead transfer task: (1) a static, wide-angle view and (2) a single moving camera allowing close-up and tracking of the bead as it was transferred. Time to task completion and number of bead drops were recorded. RESULTS: Thirty-six sessions were performed by surgical residents. Average time for bead transfer was 127.3±21.3 seconds in the Experimental group, 139.1±27.8 seconds in the Control 1 group, and 186.2±18.5 seconds in the Control 2 group (P=.034, by analysis of variance). Paired analysis (the Wilcoxon Signed-Rank Test) showed that the Experimental group was significantly faster than the Control 1 group (P=.035) and the Control 2 group (P=.028). CONCLUSIONS: We have developed an image navigation system that allows intuitive and efficient laparoscopic performance compared with two controls. It offers high-resolution images and ability for multitasking. The tracking system centers close-up images on the laparoscopic target. Further development of robust prototypes will help transition this in vitro system into clinical application.