The Neurodiagnostic Journal最新文献

Although real-time event detection during video EEG recording is required to ensure patients' safety, it is limited by the technologists' availability. We sought to explore the efficiency of real-time event detection by the EEG technologists in a single tertiary academic center. We retrospectively reviewed events from continuous inpatient video EEGs (cEEGs) and epilepsy monitoring unit (EMU) recordings in January 2017, when real-time surveillance was only available during the night shift, and June 2017, when a dedicated neurodiagnostic EEG technologist was available for real-time monitoring during all shifts. The events were categorized into those detected immediately (eyes-on), later in the same shift (delayed) or identified on the subsequent shift (missed). Chi-square and Fisher's exact tests were used for statistical comparisons. In January 2017, there were 25 patients (117 days of monitoring) in the EMU and 54 inpatients (146 days of monitoring) on cEEG with 92 total events, (39% seizures). In June 2017, there were 30 patients (133 days of monitoring) in the EMU and 47 additional inpatients (80 days of monitoring) on cEEG with 110 total events, (39% seizures). The number of events identified in real time was low and did not significantly differ among shifts regardless of the availability of the monitoring technologist. Most events were identified at the time of subsequent EEG scanning by the EEG technologist. Partial staffing for continuous video EEG surveillance is insufficient to identify events in real time. EEG technologists are able to identify events during regular EEG scanning.

This paper reviews the evidence base for an in-hospital 12-month training program in neurodiagnostic technology utilizing two educational tracks: Electroencephalography (EEG) or Polysomnography (PSG), employing standardized didactic courses via the ASET - The Neurodiagnostic Society EEGCore Curriculum EEG 200-211 and the A-STEP online sleep self-study modules by the American Academy of Sleep Medicine (AASM). Specifically, we examine the purpose, strategy, and outcomes for the training program that was established in 2016 at Ann & Robert H. Lurie Children's Hospital of Chicago to support mission sustaining service lines. In addition, we report the results from a series of student course evaluations and an independent assessment of the program by ABRET Neurodiagnostic Credentialing and Accreditation through the application for programmatic recognition for EEG. Finally, we present a set of recommendations for organizations looking to develop a neurodiagnostic technology training program.

The distinct and specialized movements performed in different sports disciplines may significantly influence nerve performance, potentially affecting nerve responses and the overall function within the respective athletic activities. The purpose of this study is to find the effect of forearm supination and pronation across the elbow joint on ulnar and median nerve conduction velocity (NCV) in throwers, archers, and non-athletes. A total of 34 participants both male and females were recruited with a body mass index (BMI) between 18.5 and 24.9 kg/m². Nerve conduction study (NeuroStim NS2 EMG/NCV/EP System) was used for measuring ulnar and median NCV across the elbow joint at different angles with the forearm in supination and pronation. Repeated measure analysis of variance (RMANOVA) revealed that there are statistically significant differences in mean values of forearm positions, angles, nerves and groups (p < .05). This study illuminates distinctive NCV variations across diverse athletic groups during forearm supination and pronation movements. Pronation consistently exhibited faster ulnar NCV compared to the median nerve across throwers, archers, and non-athletes, while in supination specific joint positions revealed notable differences within sports groups and nerve function.

The NeuroAnalyst role is relatively new with the NA-CLTM credential first becoming available in 2021. Many institutions express interest in utilizing this new role in neurodiagnostic departments, but there is a relative dearth of information about the benefits and challenges of developing a NeuroAnalyst role to support clinical neurophysiologists. The aim of this article is to share the positive experience of one institution in developing a team of NeuroAnalysts. The addition of the role can decrease EEG report turnaround time and balance the workload of clinical neurophysiologists, which improves patient care and allows physicians to increase productivity in other ways.

Effective teamwork is essential in almost every job, and can even mean life, death, or disability in some jobs. Intraoperative neurophysiological monitoring (IONM) is a career in which effective teamwork and accurate communication are of utmost importance, yet it comes with a unique set of challenges in which to achieve those goals. Operating rooms can be very stressful environments, even if a surgical neurophysiologist (SNP) works in the same hospital every day. Often an SNP is required to travel from hospital to hospital and work with different teams each day. In addition, communication with the IONM oversight professional (IONM-P) can be challenging by nature of the telemedicine model which is becoming the most commonly applied IONM model in the United States. It is unfortunate that such critical skills are assumed and are rarely formally trained. In this article, we present evidence-based recommendations for establishing effective team function. We also provide several tools designed to help create effective and efficient teams. Teams cannot function at their best without outstanding communication, so improving teamwork also means improving communication. This article also provides several techniques for excellent communication, regardless of the situation or context.