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["The intensive care simulator": a new teaching-concept to train severe sepsis management].

BACKGROUND AND OBJECTIVE: In addition to basic research and development of new therapeutic strategies, the education of health care professionals who manage sepsis patients is an important step to decrease the high mortality of severe sepsis. Patient simulators are increasingly used for teaching in anaesthesia. A training program in sepsis management was developed, using a full-scale anaesthesia simulator including the setting of a modern intensive care unit, and its results were evaluated by means of a questionnaire. METHODS: The simulator is controlled from a separate room using a controlling computer provided with physiological models and pharmacokinetic as well as pharmacodynamic patterns of substances commonly used in anaesthesia and intensive care. An important element of the training program is the subsequent debriefing with different modules, according to the individual deficits and needs of the participants detected during simulation. RESULTS: From September 2002 to July 2004 82 physicians participated in the training program. 4 weeks after the training 52 % of the participants stated that they had changed their treatment behaviour due to the training content. They assessed the interactive simulator workshop semiquantitatively on a scale from 1 ("absolutely correct") to 7 ("not correct at all") as follows: Sepsis simulation training (SST) improves identification (mean+/-SD) (2.3 +/- 1.3) and treatment (2.5 +/- 1.2) of patients with severe sepsis, and SST including true-life scenarios is more appropriate than traditional lectures (1.5 +/- 0.7). CONCLUSION: The presented SST could be an effective way to train intensive care specialists in severe sepsis management.

Anesthesia↗

Detecting synchronous cell assemblies with limited data and overlapping assemblies.

Two statistical methods-cross-correlation (Moore et al. 1966) and gravity clustering (Gerstein et al. 1985)-were evaluated for their ability to detect synchronous cell assemblies from simulated spike train data. The two methods were first analyzed for their temporal sensitivity to synchronous cell assemblies. The presented approach places a lower bound on the amount of data required to detect a synchronous assembly. On average, both methods required the same minimum amount of recording time to detect significant pairwise correlations, but the gravity method exhibited less variance in the recording time. The precise length of recording depends on the consistency with which a neuron fires synchronously with the assembly but was independent of the assembly firing rate. Next, the statistical methods were tested with respect to their ability to differentiate two distinct assemblies that overlapped in time and space. Both statistics could adequately differentiate two overlapping synchronous assemblies. For cross-correlation, this ability deteriorates quickly when considering three or more simultaneously active, overlapping assemblies, whereas the gravity method should be more flexible in this regard. The work demonstrates the difficulty of detecting assembly phenomena from simultaneous neuronal recordings. Other statistical methods and the detection of other types of assemblies are also discussed.

Action Potentials↗

Challenges to the development of complex virtual reality surgical simulations.

Virtual reality simulation in surgical training has become more widely used and intensely investigated in an effort to develop safer, more efficient, measurable training processes. The development of virtual reality simulation of surgical procedures has begun, but well-described technical obstacles must be overcome to permit varied training in a clinically realistic computer-generated environment. These challenges include development of realistic surgical interfaces and physical objects within the computer-generated environment, modeling of realistic interactions between objects, rendering of the surgical field, and development of signal processing for complex events associated with surgery. Of these, the realistic modeling of tissue objects that are fully responsive to surgical manipulations is the most challenging. Threats to early success include relatively limited resources for development and procurement, as well as smaller potential for return on investment than in other simulation industries that face similar problems. Despite these difficulties, steady progress continues to be made in these areas. If executed properly, virtual reality offers inherent advantages over other training systems in creating a realistic surgical environment and facilitating measurement of surgeon performance. Once developed, complex new virtual reality training devices must be validated for their usefulness in formative training and assessment of skill to be established.

Computer Simulation↗

Trauma team training in a distributed virtual emergency room.

A distributed simulation environment for training and evaluation of medical trauma teams is presented. Connected through the Internet, the geographically remote team members can communicate and interact using the clinically realistic environment provided by the MATADOR simulator. The scenario demonstrates an injured person's arrival at the hospital, and the diagnostic and therapeutic challenges that must be met in order to stabilize the virtual patient. Experiences from a field trial indicate that the simulator is useful both for professionals and medical students.

Computer Simulation↗

Associative learning in a network model of Hermissenda crassicornis. II. Experiments.

A companion paper in a previous issue of this journal presented a resistance-capacitance circuit computer model of the four-neuron visual-vestibular network of the invertebrate marine mollusk Hermissenda crassicornis. In the present paper, we demonstrate that changes in the model's output in response to simulated associative training is quantitatively similar to behavioral and electrophysiological changes in response to associative training of Hermissenda crassicornis. Specifically, the model demonstrates many characteristics of conditioning: sensitivity to stimulus contingency, stimulus specificity, extinction, and savings. The model's learning features also are shown to be devoid of non-associative components. Thus, this computational model is an excellent tool for examining the information flow and dynamics of biological associative learning and for uncovering insights concerning associative learning, memory, and recall that can be applied to the development of artificial neural networks.

Animals↗

A new approach to teaching normal human growth and development. The role of clinical simulations as a teaching and evaluation device for preclinical medical students.

A new approach to teaching Normal Growth and Development to preclinical medical students is described. By using specially constructed multidisciplinary clinical simulations as training and evaluation devices, students were gradually and simultaneously exposed to: (1) subject matter; (2) the concept of multidisciplinary health care delivery; and (3) the objectives, strategies, and techniques of problem solving and diagnostic reasoning that characterize experienced physicians. The course, designed by a child psychiatrist and medical educators, was taught by a multidisciplinary teaching team drawn from faculty and health care representatives. Student evaluations of the course were favorable.

Consumer Behavior↗

[Three-dimensional techniques in orthopedic ultrasonography].

Three-dimensional ultrasonography is not yet an established method in soft tissue and joint diagnostics as it is in obstetrics. Although a spatial view on the object is fascinating, problems occur in handling. No standard is defined for acquisition or visualisation. For the acquisition of the volume mainly 3D-arrays and image correlation techniques are used. For visualisation planar views of sections out of the volume, but also spatial views in a transparency or surface mode are used. Investigations on feasibility for soft tissue or joints show a higher accuracy, validity and reproducibility for 3D-sonography. Due to the low differences of the acoustic impedance visualisation is confusing in a transparency mode and needs a time consuming postprocessing in a surface mode. Future developments address to the field of faster acquisition ("real time 3D"), higher geometric precision and easier visualisation by automated segmentation. By the three-dimensionality of the data set applications in telematics, navigation and simulation ("sonographic training") are expected.

Adult↗

Correlating motor performance with surgical error in laparoscopic cholecystectomy.

BACKGROUND: Analysis of motor performance in minimally invasive surgery (MIS) is a new field with applications in surgical training, surgical simulators, and robotics. Force/torque and derivatives of tool tip position (velocity, acceleration, and jerk) are examples of measures of motor performance (MMPs). Few studies have measured MMPs or have correlated MMPs with surgical performance during MIS on humans. The objectives of this study were to determine the feasibility of a novel multimodal system to quantify MMPs in laparoscopic cholecystectomy and to attempt to correlate MMPs with the magnitude of error as a measure of surgical performance. METHODS: Novice and expert surgeons performed laparoscopic cholecystectomies in two groups of three patients each. MMPs were obtained using a combination of optical and electromagnetic tool tip tracking and a force/torque sensor on a modified Maryland dissector. Error scores for laparoscopic cholecystectomy were calculated using a previously validated system. Novice and expert measurements were compared, and correlations were made between error scores and MMPs. RESULTS: Error scores were similar between novices and experts. Novice surgeons had a significantly greater mean velocity (566 +/- 83 vs 85 +/- 32 mm/s, p = 0.006) and acceleration (2,600 +/- 760 vs 440 +/- 174 mm/s2, p = 0.050) compared to expert surgeons. Force (16.5 +/- 4.6 vs 18.3 +/- 6.0 N, p = 0.829), position (121 +/- 25 vs 135 +/- 72 mm, p = 0.863), and jerk (19,600 +/- 7,410 vs 2,430 +/- 367 mm/s3, p = 0.138) were similar between groups. A positive correlation was found in novice surgeons between error score and jerk (Pearson correlation, 0.999; p = 0.035). CONCLUSIONS: It is feasible to quantify MMPs in laparoscopic cholecystectomy. Novice and expert surgeons can be differentiated by MMPs; moreover, there may be a positive correlation between jerk and error score in novice surgeons.

Adult↗

Looking forward.

With the rapid acceleration of technology, fundamental changes in the science of surgery are emerging within the lifetime of a surgeon's practice. This review includes the technologies of information systems, robotics, virtual reality, simulation and training, directed-energy surgical instruments, photonics, and brain chips, as well as their impact on the practice of surgery. Also considered are those technologies that may replace surgery, such as genetic engineering, tissue engineering, suspended animation, and nanotechnology. The evidence for each of these technologies is presented as preliminary reports of their success in research laboratories.

Diffusion of Innovation↗

Navigation and image-guided HBP surgery: a review and preview.

Image-guided surgery and navigation have resulted from convergent developments in radiology, teletransmission, and computer science. Patient selection and preoperative planning in hepatobiliary-pancreatic (HBP) surgery rely on preoperative imaging. The operative procedure is finally led by the fusion of additional information gained by the palpating hand and intraoperative ultrasound. Despite advances in reducing morbidity and mortality, decisions are often hardly quantifiable and are restricted to super-specialists in HBP surgery. New developments in computed tomography (CT) and magnetic resonance imaging (MRI) technology have led to the possibility of the volumetric prediction of liver resections. These data can be shared via telemedicine and used for simulation and training. Three-dimensional (3D) reconstructions have led to a better topologic understanding of tumor-vascular tree relations in the individual patient. With the increasing use of ablative procedures and laparoscopy, intraoperative imaging and navigation will hold increasing significance for the HBP surgeon. Flat screen monitors adjacent to the surgical field present computer-generated 3D virtual liver resection proposals which can be transferred into the real liver. The main obstacles in HBP navigation are the flexibility and mobility of the target organ. Intrahepatic and surface markers seem to be mandatory for computer-navigated surgery. The first feasibility studies are promising.

Bile Ducts↗

Principles and advantages of robotics in urologic surgery.

Although the available minimally invasive surgical techniques (ie, laparoscopy) have clear advantages, these procedures continue to cause problems for patients. Surgical tools are limited by set axes of movement, restricting the degree of freedom available to the surgeon. In addition, depth perception is lost with the use of two-dimensional viewing systems. As surgeons view a "virtual" target on a television screen, they are hampered by decreased sensory input and a concurrent loss of dexterity. The development of robotic assistance systems in recent years could be the key to overcoming these difficulties. Using robotic systems, surgeons can experience a more natural and ergonomic surgical "feel." Surgical assistance, dexterity and precision enhancement, systems networking, and image-guided therapy are among the benefits offered by surgical robots. In return, the surgeon gains a shorter learning curve, reduced fatigue, and the opportunity to perform complex procedures that would be difficult using conventional laparoscopy. With the development of image-guided technology, robotic systems will become useful tools for surgical training and simulation. Remote surgery is not a routine procedure, but several teams are working on this and experiencing good results. However, economic concerns are the major drawbacks of these systems; before remote surgery becomes routinely feasible, the clinical benefits must be balanced with high investment and running costs.

Humans↗

Automated recognition of corrupted arterial waveforms using neural network techniques.

A data acquisition system that automatically discards corrupted or undesirable signals would save untold hours of drudgery for researchers. Continuous recording of variables to provide detailed behavior patterns generates huge amounts of raw data. Unfortunately waveforms usually require visual inspection for isolating desired behavior or validating signal integrity. This tedious and time-consuming step can potentially be eliminated using a novel computer science technique. We have trained a simulated neural network to recognize corrupted arterial pressure waveforms. Our system can now evaluate the validity of the arterial waveform without human intervention with an average false positive error rate of 2.2% and an average false negative error rate of 12.6%.

Artifacts↗

Four window differential capillary velocimetry.

A video red blood cell velocimeter was implemented with four photometric windows in such a fashion that the upstream and downstream signals are the difference between spatially separated window pairs. The performance of this system was compared with that of a conventional dual window photometric video velocimeter. Tests were made with artificial patterns of red blood cells that simulated long trains of contiguous cells, or large plasma gaps. It was found that the four window system produces a correlogram that is better suited for delay to maximum cross-correlation detection. Similarly, when the responses of the two methods were compared in terms of ability to detect changes of velocity, the time constant for a test step velocity change was found to be 1.2 +/- 0.7 sec for the four window system vs 2.3 +/- 0.6 sec for the two window system. It is concluded that this modification of the capillary red blood cell velocimetry methodology is better suited for detecting the spontaneous flow variations due to vasomotion.

Blood Flow Velocity↗

Properties of the phase-alternating phase-shift (PHAPS) multiple spin-echo protocol in MRI: a study of the effects of imperfect RF pulses.

The effects of imperfect radiofrequency (RF) pulses on the echo amplitudes from the Carr-Purcell (CP), Carr-Purcell-Meiboom-Gill (CPMG), and the PHase-Alternating Phase-Shift (PHAPS; combination of CP and CPMG) multiple spin-echo schemes were studied. Properties of the PHAPS scheme for transverse relaxation time measurements was emphasized. Numerical simulations on non-relaxing spin systems were performed to assess the properties of selective (damped sinc shaped) and nonselective refocusing pulses in terms of effective spatial selectivity and generation of secondary echo signal. Analytical solutions of the Bloch equations were applied to study the generation and propagation of stimulated echo signal caused by nonideal 180 degrees phase reversals, and the results were used to analyse the numerical simulations in terms of primary and stimulated echo components. Finally, the simulated echo train patterns from the different MSE schemes were compared with MR imaging measurements. It was found that the underestimation of T2 values by the PHAPS protocol with selective refocusing pulses is mainly an effect of an "artificial" echo amplitude decay in the CP scheme, while the CPMG scheme produces a typical even-odd echo pattern (different from corresponding echo patterns in conventional high resolution NMR). Both effects are related to the flip angle error and phase dispersion along the slice selection direction from selective RF pulses, and are not significantly influenced by stimulated echo interference for nonrelaxing spin systems. However, the presence of stimulated echoes at the time of the primary echoes implies a dependence on T1 of the PHAPS echo amplitudes. In the CPMG protocol, different gradient schemes have been implemented to defocus stimulated echoes. However, the results indicate that there exists stimulated components that will not be affected by such gradients, and that the optimization of the RF refocusing pulses then remain the main objective.

Artifacts↗

The impact of educational intervention programs on pain management in a pediatric emergency department.

Management of pain and anxiety is an important part of patient care in the pediatric emergency department (ED). Even though it has improved significantly over the past few years, it is still suboptimal. The objective of this study was to evaluate the effect of informal and formal education on pain and anxiety management in the pediatric ED. Management of pain and anxiety was assessed by comparing the use of analgesics and sedatives during three phases: A) year 2000 (baseline), B) years 2001-2002 (informal teaching) and C) year 2004 (following a structured simulation-based training in pediatric sedation and analgesia). During period B there was a significant increase in the yearly use of eutectic mixture of local anesthetics (EMLA) (RR=2.63, CI 1.23-5.6), ibuprofen (RR=14.16, CI 8.73-22.98), midazolam (RR=1.68, CI 1.39-2.03) and nitrous oxide (N2O) in comparison with period A, with an additional increment of the first three medicines during period C. There was no change in the use of ketamine, morphine and meperidine during period B. Whereas, during period C, a significant increase in the use of ketamine and morphine was demonstrated (RR=24.56, CI 10.71-56.3 and RR=3.07, CI 2.12-4.44, respectively), while the use of meperidine (RR=0.68, CI 0.49-0.94) and N2O (RR=0.46, 95% CI 0.32-0.67) declined significantly. Educational interventions have a clear impact on pain and anxiety management demonstrated by the subsequent change in the use of sedatives and analgesics and should be provided to pediatric ED physicians. Informal teaching affected mainly the use of milder sedatives and analgesics, while formal structured training influenced the use of opioids and dissociative agents.

Analgesics↗

Comparison of summative assessments between simulated electronic health records versus traditional paper-based patient cases: A non-inferiority randomized controlled trial.

INTRODUCTION: Electronic health records are fundamental to contemporary pharmacy practice, yet evidence supporting their use in pharmacy education is lacking. This single-center, non-inferiority randomized controlled trial with blinded outcome assessment evaluated whether delivering patient cases via a simulated academic EHR (aEHR) was non-inferior to a traditional paper-based format in student exam performance. METHODS: 53 third-year PharmD students at the University of British Columbia were randomized 1:1 to complete a mock summative examination using either the aEHR or paper-based case delivery, stratified by self-reported EHR comfort level. The primary outcome was mean written exam score (%). Non-inferiority was pre-specified at a margin of 14%. Adjusted linear regression was used for the primary analysis, with a multiple imputation sensitivity analysis. Student perceptions were explored through post-exam focus groups analyzed using inductive thematic analysis. RESULTS: 42 students (21 per group) completed the exam and were included in the primary analysis. Mean scores were 66% (SD 11) in the aEHR group and 68% (SD 10) in the paper group. The adjusted mean difference (paper minus aEHR) was -2.2% (95% CI -9.2% to +4.8%), satisfying non-inferiority but not superiority. Sensitivity analysis (n = 53) yielded consistent results (-2.3%; 95% CI -7.1% to +4.1%). Focus groups revealed initial student anxiety with the aEHR but recognized its alignment with clinical practice. DISCUSSION: These findings support the feasibility of integrating simulated EHRs into summative pharmacy assessments without compromising performance. CONCLUSION: Simulated EHRs are a non-inferior assessment medium compared with paper-based formats and represent a viable step toward technology-driven pharmacy practice environments.

Humans↗

Artificial neural networks can learn to estimate extinction rates from molecular phylogenies.

Molecular phylogenies typically consist of only extant species, yet they allow inference of past rates of extinction, because recently originated species are less likely to be extinct than ancient species. Despite the simple structure of the assumed underlying speciation-extinction process, parametric functions to estimate extinction rates from phylogenies turned out to be complex and often difficult to derive. Moreover, these parametric functions are specific to a particular process (e.g. complete species level phylogeny with constant birth and death rates) and a particular type of data (e.g. times between bifurcations). Here, it is shown that artificial neural networks can substitute for parametric estimation functions once they have been sufficiently trained on simulated data. This technique can in principle be used for different processes and data types, and because it circumvents the time-consuming and difficult task of deriving parametric estimation functions, it may greatly extend the possibilities to make macro-evolutionary inferences from molecular phylogenies. This novel approach is explained, applied to estimate speciation and extinction rates from a molecular phylogeny of the reef fish genus Naso (Acanturidae), and its performance is compared to that of maximum likelihood estimation.

Animals↗

The transtheoretical model of change in adolescents: implications for injury prevention.

INTRODUCTION: Many injury prevention interventions require changes in human behavior to reduce self-risk or risk to others. Promising injury prevention interventions may be discarded if they lack power to create a significant difference in outcomes when judging their ability to "move a person from nonaction or negative action to positive action (safety)." The transtheoretical model of change (TMC) allows greater sensitivity in detecting along the change process where an intervention may be effective. The stages of change consist of precontemplation, contemplation, preparation, action, maintenance, and termination. Change is not viewed as an "all or none phenomenon." METHOD: Use of the TMC was examined using a quasiexperimental, cross-over design involving high school agriculture students enrolled in 21 schools in Kentucky (n=9), Iowa (n=7), and Mississippi (n=5). A series of physical and narrative simulations (safety training exercises) were developed with a focus on preventing amputation, spinal cord injury, hypersensitivity pneumonitis, and noise-induced hearing loss. Contemplation and action, as part of the TMC, were measured using a 10-item, Likert-type, stages of change (SOC) instrument comprised of two subscales (reliability coefficients were.88 and.81, respectively). The final sample consisted of 790 students (373 treatment and 417 control). RESULTS: There was a significant group effect for both contemplation, F(1,732)=197.4; p<.0001, and action, F(1,730)=106.1; p<.0001. A convenience sample of 29 of the participating students was selected for follow-up farm visits 1 year postparticipation. Of these students, 25 (86%) had made safety behavior changes in their farm work. IMPACT ON INDUSTRY: The use of the TMC model can provide researchers with greater precision in examining intervention effectiveness in promoting change.

Adolescent↗